Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | R | S | T | U | V | W | Z _ __init__() (pymc.ADVI method) (pymc.Approximation method) (pymc.AR method) (pymc.ASVGD method) (pymc.AsymmetricLaplace method) (pymc.backends.base.BaseTrace method) (pymc.backends.base.MultiTrace method) (pymc.backends.NDArray method) (pymc.Bernoulli method) (pymc.Beta method) (pymc.BetaBinomial method) (pymc.BinaryGibbsMetropolis method) (pymc.BinaryMetropolis method) (pymc.Binomial method) (pymc.CallableTensor method) (pymc.CAR method) (pymc.Categorical method) (pymc.CategoricalGibbsMetropolis method) (pymc.Cauchy method) (pymc.CauchyProposal method) (pymc.Censored method) (pymc.ChiSquared method) (pymc.CompoundStep method) (pymc.Continuous method) (pymc.CustomDist method) (pymc.DEMetropolis method) (pymc.DEMetropolisZ method) (pymc.DictToArrayBijection method) (pymc.DiracDelta method) (pymc.Dirichlet method) (pymc.DirichletMultinomial method) (pymc.Discrete method) (pymc.DiscreteUniform method) (pymc.DiscreteWeibull method) (pymc.Distribution method) (pymc.distributions.transforms.Chain method) (pymc.distributions.transforms.CholeskyCovPacked method) (pymc.distributions.transforms.Interval method) (pymc.distributions.transforms.LogExpM1 method) (pymc.distributions.transforms.Ordered method) (pymc.distributions.transforms.SumTo1 method) (pymc.distributions.transforms.ZeroSumTransform method) (pymc.Empirical method) (pymc.EulerMaruyama method) (pymc.ExGaussian method) (pymc.Exponential method) (pymc.Flat method) (pymc.FullRank method) (pymc.FullRankADVI method) (pymc.Gamma method) (pymc.GARCH11 method) (pymc.GaussianRandomWalk method) (pymc.GeneratorAdapter method) (pymc.Geometric method) (pymc.gp.cov.Constant method) (pymc.gp.cov.Coregion method) (pymc.gp.cov.Cosine method) (pymc.gp.cov.Exponential method) (pymc.gp.cov.ExpQuad method) (pymc.gp.cov.Gibbs method) (pymc.gp.cov.Kron method) (pymc.gp.cov.Linear method) (pymc.gp.cov.Matern32 method) (pymc.gp.cov.Matern52 method) (pymc.gp.cov.Periodic method) (pymc.gp.cov.Polynomial method) (pymc.gp.cov.RatQuad method) (pymc.gp.cov.ScaledCov method) (pymc.gp.cov.WarpedInput method) (pymc.gp.cov.WhiteNoise method) (pymc.gp.HSGP method) (pymc.gp.Latent method) (pymc.gp.LatentKron method) (pymc.gp.Marginal method) (pymc.gp.MarginalApprox method) (pymc.gp.MarginalKron method) (pymc.gp.mean.Constant method) (pymc.gp.mean.Linear method) (pymc.gp.mean.Zero method) (pymc.gp.TP method) (pymc.Group method) (pymc.Gumbel method) (pymc.HalfCauchy method) (pymc.HalfFlat method) (pymc.HalfNormal method) (pymc.HalfStudentT method) (pymc.HamiltonianMC method) (pymc.HurdleGamma method) (pymc.HurdleLogNormal method) (pymc.HurdleNegativeBinomial method) (pymc.HurdlePoisson method) (pymc.HyperGeometric method) (pymc.ImplicitGradient method) (pymc.Inference method) (pymc.Interpolated method) (pymc.InverseGamma method) (pymc.KLqp method) (pymc.KroneckerNormal method) (pymc.Kumaraswamy method) (pymc.Laplace method) (pymc.LaplaceProposal method) (pymc.LKJCholeskyCov method) (pymc.LKJCorr method) (pymc.Logistic method) (pymc.LogitNormal method) (pymc.LogNormal method) (pymc.MatrixNormal method) (pymc.MeanField method) (pymc.Metropolis method) (pymc.Mixture method) (pymc.Model method) (pymc.Moyal method) (pymc.Multinomial method) (pymc.MultivariateNormalProposal method) (pymc.MvGaussianRandomWalk method) (pymc.MvNormal method) (pymc.MvStudentT method) (pymc.MvStudentTRandomWalk method) (pymc.NegativeBinomial method) (pymc.Normal method) (pymc.NormalMixture method) (pymc.NormalProposal method) (pymc.NUTS method) (pymc.ode.DifferentialEquation method) (pymc.OrderedLogistic method) (pymc.OrderedMultinomial method) (pymc.OrderedProbit method) (pymc.Pareto method) (pymc.Poisson method) (pymc.PoissonProposal method) (pymc.PolyaGamma method) (pymc.Rice method) (pymc.Simulator method) (pymc.SkewNormal method) (pymc.Slice method) (pymc.smc.kernels.IMH method) (pymc.smc.kernels.MH method) (pymc.smc.kernels.SMC_KERNEL method) (pymc.Stein method) (pymc.StickBreakingWeights method) (pymc.StudentT method) (pymc.SVGD method) (pymc.SymbolicRandomVariable method) (pymc.Triangular method) (pymc.Truncated method) (pymc.TruncatedNormal method) (pymc.Uniform method) (pymc.UniformProposal method) (pymc.variational.operators.KL method) (pymc.variational.operators.KSD method) (pymc.VonMises method) (pymc.Wald method) (pymc.Weibull method) (pymc.Wishart method) (pymc.ZeroInflatedBinomial method) (pymc.ZeroInflatedNegativeBinomial method) (pymc.ZeroInflatedPoisson method) (pymc.ZeroSumNormal method) A abs (in module pymc.math) adadelta() (in module pymc) adagrad() (in module pymc) adagrad_window() (in module pymc) adam() (in module pymc) adamax() (in module pymc) add_coord() (pymc.Model method) add_coords() (pymc.Model method) add_named_variable() (pymc.Model method) add_tag_trace() (pymc.ode.DifferentialEquation static method) (pymc.SymbolicRandomVariable static method) ADVI (class in pymc) and_ (in module pymc.math) apply() (pymc.variational.operators.KL method) (pymc.variational.operators.KSD method) apply_momentum() (in module pymc) apply_nesterov_momentum() (in module pymc) Approximation (class in pymc) AR (class in pymc) astep() (pymc.BinaryGibbsMetropolis method) (pymc.BinaryMetropolis method) (pymc.CategoricalGibbsMetropolis method) (pymc.DEMetropolis method) (pymc.DEMetropolisZ method) (pymc.HamiltonianMC method) (pymc.Metropolis method) (pymc.NUTS method) (pymc.Slice method) astep_prop() (pymc.CategoricalGibbsMetropolis method) astep_unif() (pymc.CategoricalGibbsMetropolis method) ASVGD (class in pymc) AsymmetricLaplace (class in pymc) B backward() (pymc.distributions.transforms.Chain method) (pymc.distributions.transforms.CholeskyCovPacked method) (pymc.distributions.transforms.Interval method) (pymc.distributions.transforms.LogExpM1 method) (pymc.distributions.transforms.Ordered method) (pymc.distributions.transforms.SumTo1 method) (pymc.distributions.transforms.ZeroSumTransform method) BaseTrace (class in pymc.backends.base) Bayes' theorem Bayesian inference Bayesian model Bayesian Workflow Bernoulli (class in pymc) Beta (class in pymc) BetaBinomial (class in pymc) BinaryGibbsMetropolis (class in pymc) BinaryMetropolis (class in pymc) Binomial (class in pymc) broadcast_dist_samples_shape() (in module pymc.distributions.shape_utils) C CallableTensor (class in pymc) CAR (class in pymc) Categorical (class in pymc) CategoricalGibbsMetropolis (class in pymc) Cauchy (class in pymc) CauchyProposal (class in pymc) ceil (in module pymc.math) Censored (class in pymc) Chain (class in pymc.distributions.transforms) change_dist_size() (in module pymc.distributions.shape_utils) check_start_vals() (pymc.Model method) check_valid_dist_random() (pymc.CustomDist class method) check_zerosum_axes() (pymc.ZeroSumNormal class method) ChiSquared (class in pymc) CholeskyCovPacked (class in pymc.distributions.transforms) circular (in module pymc.distributions.transforms) clip (in module pymc.math) clone() (pymc.SymbolicRandomVariable method) close() (pymc.backends.base.BaseTrace method) (pymc.backends.NDArray method) collect() (pymc.Approximation method) (pymc.Empirical method) (pymc.FullRank method) (pymc.MeanField method) competence() (pymc.BinaryGibbsMetropolis static method) (pymc.BinaryMetropolis static method) (pymc.CategoricalGibbsMetropolis static method) (pymc.DEMetropolis static method) (pymc.DEMetropolisZ static method) (pymc.HamiltonianMC static method) (pymc.Metropolis static method) (pymc.NUTS static method) (pymc.Slice static method) compile_d2logp() (pymc.Model method) compile_dlogp() (pymc.Model method) compile_fn() (in module pymc) (pymc.Model method) compile_logp() (pymc.Model method) compile_pymc() (in module pymc) CompoundStep (class in pymc) compute_log_likelihood() (in module pymc) concatenate() (in module pymc.math) conditional() (pymc.gp.HSGP method) (pymc.gp.Latent method) (pymc.gp.LatentKron method) (pymc.gp.Marginal method) (pymc.gp.MarginalApprox method) (pymc.gp.MarginalKron method) (pymc.gp.TP method) connection_pattern() (pymc.SymbolicRandomVariable method) Constant (class in pymc.gp.cov) (class in pymc.gp.mean) constant() (in module pymc.math) constant_fold() (in module pymc) ConstantData() (in module pymc) cont_inputs() (in module pymc) Continuous (class in pymc) convert_observed_data() (in module pymc) Coregion (class in pymc.gp.cov) cos (in module pymc.math) cosh (in module pymc.math) Cosine (class in pymc.gp.cov) create_value_var() (pymc.Model method) Credibility CustomDist (class in pymc) D d2logp() (pymc.Model method) Data() (in module pymc) debug() (pymc.Model method) DEMetropolis (class in pymc) DEMetropolisZ (class in pymc) det (in module pymc.math) Deterministic() (in module pymc) diag() (pymc.gp.cov.Constant method) (pymc.gp.cov.Coregion method) (pymc.gp.cov.Cosine method) (pymc.gp.cov.Exponential method) (pymc.gp.cov.ExpQuad method) (pymc.gp.cov.Gibbs method) (pymc.gp.cov.Kron method) (pymc.gp.cov.Linear method) (pymc.gp.cov.Matern32 method) (pymc.gp.cov.Matern52 method) (pymc.gp.cov.Periodic method) (pymc.gp.cov.Polynomial method) (pymc.gp.cov.RatQuad method) (pymc.gp.cov.ScaledCov method) (pymc.gp.cov.WarpedInput method) (pymc.gp.cov.WhiteNoise method) DictToArrayBijection (class in pymc) DifferentialEquation (class in pymc.ode) DiracDelta (class in pymc) Dirichlet (class in pymc) DirichletMultinomial (class in pymc) Discrete (class in pymc) DiscreteUniform (class in pymc) DiscreteWeibull (class in pymc) Dispatching Dispersion dist() (pymc.AR class method) (pymc.AsymmetricLaplace class method) (pymc.Bernoulli class method) (pymc.Beta class method) (pymc.BetaBinomial class method) (pymc.Binomial class method) (pymc.CAR class method) (pymc.Categorical class method) (pymc.Cauchy class method) (pymc.Censored class method) (pymc.ChiSquared class method) (pymc.Continuous class method) (pymc.CustomDist class method) (pymc.DiracDelta class method) (pymc.Dirichlet class method) (pymc.DirichletMultinomial class method) (pymc.Discrete class method) (pymc.DiscreteUniform class method) (pymc.DiscreteWeibull class method) (pymc.Distribution class method) (pymc.EulerMaruyama class method) (pymc.ExGaussian class method) (pymc.Exponential class method) (pymc.Flat class method) (pymc.Gamma class method) (pymc.GARCH11 class method) (pymc.GaussianRandomWalk class method) (pymc.Geometric class method) (pymc.Gumbel class method) (pymc.HalfCauchy class method) (pymc.HalfFlat class method) (pymc.HalfNormal class method) (pymc.HalfStudentT class method) (pymc.HurdleGamma class method) (pymc.HurdleLogNormal class method) (pymc.HurdleNegativeBinomial class method) (pymc.HurdlePoisson class method) (pymc.HyperGeometric class method) (pymc.Interpolated class method) (pymc.InverseGamma class method) (pymc.KroneckerNormal class method) (pymc.Kumaraswamy class method) (pymc.Laplace class method) (pymc.LKJCholeskyCov class method) (pymc.LKJCorr class method) (pymc.Logistic class method) (pymc.LogitNormal class method) (pymc.LogNormal class method) (pymc.MatrixNormal class method) (pymc.Mixture class method) (pymc.Moyal class method) (pymc.Multinomial class method) (pymc.MvGaussianRandomWalk class method) (pymc.MvNormal class method) (pymc.MvStudentT class method) (pymc.MvStudentTRandomWalk class method) (pymc.NegativeBinomial class method) (pymc.Normal class method) (pymc.NormalMixture class method) (pymc.OrderedLogistic class method) (pymc.OrderedMultinomial class method) (pymc.OrderedProbit class method) (pymc.Pareto class method) (pymc.Poisson class method) (pymc.PolyaGamma class method) (pymc.Rice class method) (pymc.Simulator class method) (pymc.SkewNormal class method) (pymc.StickBreakingWeights class method) (pymc.StudentT class method) (pymc.Triangular class method) (pymc.Truncated class method) (pymc.TruncatedNormal class method) (pymc.Uniform class method) (pymc.VonMises class method) (pymc.Wald class method) (pymc.Weibull class method) (pymc.Wishart class method) (pymc.ZeroInflatedBinomial class method) (pymc.ZeroInflatedNegativeBinomial class method) (pymc.ZeroInflatedPoisson class method) (pymc.ZeroSumNormal class method) Distribution (class in pymc) dlogp() (pymc.Model method) do_constant_folding() (pymc.ode.DifferentialEquation method) (pymc.SymbolicRandomVariable method) dot() (in module pymc.math) draw() (in module pymc) E Empirical (class in pymc) eq (in module pymc.math) erf (in module pymc.math) erfinv (in module pymc.math) euclidean_dist() (pymc.gp.cov.Cosine method) (pymc.gp.cov.Exponential method) (pymc.gp.cov.ExpQuad method) (pymc.gp.cov.Matern32 method) (pymc.gp.cov.Matern52 method) (pymc.gp.cov.Periodic method) (pymc.gp.cov.RatQuad method) EulerMaruyama (class in pymc) eval_rv_shapes() (pymc.Model method) evaluate_over_trace() (pymc.Empirical method) ExGaussian (class in pymc) exp (in module pymc.math) expand_packed_triangular() (in module pymc) Exponential (class in pymc) (class in pymc.gp.cov) ExpQuad (class in pymc.gp.cov) extract_diag (in module pymc.math) F find_constrained_prior() (in module pymc) find_hessian() (in module pymc) find_MAP() (in module pymc) fit() (in module pymc) (pymc.ADVI method) (pymc.ASVGD method) (pymc.FullRankADVI method) (pymc.ImplicitGradient method) (pymc.Inference method) (pymc.KLqp method) (pymc.SVGD method) Flat (class in pymc) flatten() (in module pymc.math) floatX() (in module pymc) floor (in module pymc.math) forward() (pymc.distributions.transforms.Chain method) (pymc.distributions.transforms.CholeskyCovPacked method) (pymc.distributions.transforms.Interval method) (pymc.distributions.transforms.LogExpM1 method) (pymc.distributions.transforms.Ordered method) (pymc.distributions.transforms.SumTo1 method) (pymc.distributions.transforms.ZeroSumTransform method) full() (pymc.gp.cov.Constant method) (pymc.gp.cov.Coregion method) (pymc.gp.cov.Cosine method) (pymc.gp.cov.Exponential method) (pymc.gp.cov.ExpQuad method) (pymc.gp.cov.Gibbs method) (pymc.gp.cov.Kron method) (pymc.gp.cov.Linear method) (pymc.gp.cov.Matern32 method) (pymc.gp.cov.Matern52 method) (pymc.gp.cov.Periodic method) (pymc.gp.cov.Polynomial method) (pymc.gp.cov.RatQuad method) (pymc.gp.cov.ScaledCov method) (pymc.gp.cov.WarpedInput method) (pymc.gp.cov.WhiteNoise method) FullRank (class in pymc) FullRankADVI (class in pymc) Functional Programming G Gamma (class in pymc) GARCH11 (class in pymc) GaussianRandomWalk (class in pymc) ge (in module pymc.math) Generalized Linear Model Generalized Poisson Distribution generator() (in module pymc) GeneratorAdapter (class in pymc) Geometric (class in pymc) get_alpha_beta() (pymc.Beta class method) (pymc.Gamma class method) get_data() (in module pymc) get_dists() (pymc.GaussianRandomWalk class method) (pymc.MvGaussianRandomWalk class method) (pymc.MvStudentTRandomWalk class method) get_kappa() (pymc.AsymmetricLaplace class method) get_lop_op() (pymc.SymbolicRandomVariable method) get_mu_lam_phi() (pymc.Wald static method) get_n_p() (pymc.NegativeBinomial class method) get_nu_b() (pymc.Rice class method) get_optimization_replacements() (pymc.Approximation method) (pymc.Empirical method) (pymc.FullRank method) (pymc.MeanField method) get_param_spec_for() (pymc.Group class method) get_params() (pymc.ode.DifferentialEquation method) (pymc.SymbolicRandomVariable method) get_rop_op() (pymc.SymbolicRandomVariable method) get_sampler_stats() (pymc.backends.base.BaseTrace method) (pymc.backends.base.MultiTrace method) (pymc.backends.NDArray method) get_values() (pymc.backends.base.BaseTrace method) (pymc.backends.base.MultiTrace method) (pymc.backends.NDArray method) Gibbs (class in pymc.gp.cov) GLM grad() (pymc.ode.DifferentialEquation method) (pymc.SymbolicRandomVariable method) gradient() (in module pymc) Group (class in pymc) group_for_params() (pymc.Group class method) group_for_short_name() (pymc.Group class method) gt (in module pymc.math) guess_scaling() (in module pymc) Gumbel (class in pymc) H HalfCauchy (class in pymc) HalfFlat (class in pymc) HalfNormal (class in pymc) HalfStudentT (class in pymc) Hamiltonian Monte Carlo HamiltonianMC (class in pymc) helper_deterministics() (pymc.LKJCholeskyCov class method) hessian() (in module pymc) hessian_diag() (in module pymc) Hierarchical Ordinary Differential Equation HMC HSGP (class in pymc.gp) HurdleGamma (class in pymc) HurdleLogNormal (class in pymc) HurdleNegativeBinomial (class in pymc) HurdlePoisson (class in pymc) HyperGeometric (class in pymc) I icdf() (pymc.DiscreteUniform method) (pymc.Exponential method) (pymc.Geometric method) (pymc.Laplace method) (pymc.Normal method) (pymc.Pareto method) (pymc.Uniform method) IMH (class in pymc.smc.kernels) ImplicitGradient (class in pymc) infer_shape() (pymc.ode.DifferentialEquation method) (pymc.SymbolicRandomVariable method) Inference (class in pymc) init_nuts() (in module pymc) initial_point() (pymc.Model method) initialize_population() (pymc.smc.kernels.IMH method) (pymc.smc.kernels.MH method) (pymc.smc.kernels.SMC_KERNEL method) inputvars() (in module pymc) Interpolated (class in pymc) Interval (class in pymc.distributions.transforms) intX() (in module pymc) InverseGamma (class in pymc) invlogit() (in module pymc) (in module pymc.math) invprobit() (in module pymc) is_symbolic_random() (pymc.CustomDist class method) J jacobian() (in module pymc) join_nonshared_inputs() (in module pymc) just for the purpose of model selection or model averaging but more importantly to better understand these models and iv) Preparation of the results for a particular audience. These non-inferencial tasks require both numerical and visual summaries to help practitioners analyse their models. And they are sometimes collectively known as Exploratory Analysis of Bayesian Models. K KL (class in pymc.variational.operators) KLqp (class in pymc) Kron (class in pymc.gp.cov) KroneckerNormal (class in pymc) KSD (class in pymc.variational.operators) Kumaraswamy (class in pymc) L L_op() (pymc.ode.DifferentialEquation method) (pymc.SymbolicRandomVariable method) Laplace (class in pymc) LaplaceProposal (class in pymc) Latent (class in pymc.gp) LatentKron (class in pymc.gp) le (in module pymc.math) Likelihood Linear (class in pymc.gp.cov) (class in pymc.gp.mean) link_population() (pymc.DEMetropolis method) LKJCholeskyCov (class in pymc) LKJCorr (class in pymc) log (in module pymc.distributions.transforms) (in module pymc.math) log_exp_m1 (in module pymc.distributions.transforms) log_jac_det() (pymc.distributions.transforms.Chain method) (pymc.distributions.transforms.CholeskyCovPacked method) (pymc.distributions.transforms.Interval method) (pymc.distributions.transforms.LogExpM1 method) (pymc.distributions.transforms.Ordered method) (pymc.distributions.transforms.SumTo1 method) (pymc.distributions.transforms.ZeroSumTransform method) logcdf() (pymc.Bernoulli method) (pymc.Beta method) (pymc.BetaBinomial method) (pymc.Binomial method) (pymc.Cauchy method) (pymc.ChiSquared method) (pymc.DiracDelta method) (pymc.DiscreteUniform method) (pymc.DiscreteWeibull method) (pymc.ExGaussian method) (pymc.Exponential method) (pymc.Flat method) (pymc.Gamma method) (pymc.Geometric method) (pymc.Gumbel method) (pymc.HalfCauchy method) (pymc.HalfFlat method) (pymc.HalfNormal method) (pymc.HyperGeometric method) (pymc.InverseGamma method) (pymc.Kumaraswamy method) (pymc.Laplace method) (pymc.Logistic method) (pymc.LogNormal method) (pymc.Moyal method) (pymc.NegativeBinomial method) (pymc.Normal method) (pymc.Pareto method) (pymc.Poisson method) (pymc.PolyaGamma method) (pymc.StudentT method) (pymc.Triangular method) (pymc.Uniform method) (pymc.Wald method) (pymc.Weibull method) LogExpM1 (class in pymc.distributions.transforms) Logistic (class in pymc) logit() (in module pymc) (in module pymc.math) LogitNormal (class in pymc) LogNormal (class in pymc) logodds (in module pymc.distributions.transforms) logp() (pymc.AsymmetricLaplace method) (pymc.Bernoulli method) (pymc.Beta method) (pymc.BetaBinomial method) (pymc.Binomial method) (pymc.CAR method) (pymc.Categorical method) (pymc.Cauchy method) (pymc.ChiSquared method) (pymc.DiracDelta method) (pymc.Dirichlet method) (pymc.DirichletMultinomial method) (pymc.DiscreteUniform method) (pymc.DiscreteWeibull method) (pymc.ExGaussian method) (pymc.Exponential method) (pymc.Flat method) (pymc.Gamma method) (pymc.Geometric method) (pymc.Gumbel method) (pymc.HalfCauchy method) (pymc.HalfFlat method) (pymc.HalfNormal method) (pymc.HalfStudentT method) (pymc.HyperGeometric method) (pymc.Interpolated method) (pymc.InverseGamma method) (pymc.KroneckerNormal method) (pymc.Kumaraswamy method) (pymc.Laplace method) (pymc.LKJCorr method) (pymc.Logistic method) (pymc.LogitNormal method) (pymc.LogNormal method) (pymc.MatrixNormal method) (pymc.Model method) (pymc.Moyal method) (pymc.Multinomial method) (pymc.MvNormal method) (pymc.MvStudentT method) (pymc.NegativeBinomial method) (pymc.Normal method) (pymc.Pareto method) (pymc.Poisson method) (pymc.PolyaGamma method) (pymc.Rice method) (pymc.SkewNormal method) (pymc.StickBreakingWeights method) (pymc.StudentT method) (pymc.Triangular method) (pymc.TruncatedNormal method) (pymc.Uniform method) (pymc.VonMises method) (pymc.Wald method) (pymc.Weibull method) (pymc.Wishart method) logp_dlogp_function() (pymc.Model method) logsumexp() (in module pymc) (in module pymc.math) lt (in module pymc.math) M make_node() (pymc.ode.DifferentialEquation method) (pymc.SymbolicRandomVariable method) make_obs_var() (pymc.Model method) make_py_thunk() (pymc.ode.DifferentialEquation method) (pymc.SymbolicRandomVariable method) make_shared_replacements() (in module pymc) make_size_and_deterministic_replacements() (pymc.Approximation method) (pymc.Empirical method) (pymc.FullRank method) (pymc.Group method) (pymc.MeanField method) make_thunk() (pymc.ode.DifferentialEquation method) (pymc.SymbolicRandomVariable method) make_variable() (pymc.GeneratorAdapter method) MAP map() (pymc.DictToArrayBijection static method) mapf() (pymc.DictToArrayBijection class method) Marginal (class in pymc.gp) marginal_likelihood() (pymc.gp.HSGP method) (pymc.gp.Latent method) (pymc.gp.LatentKron method) (pymc.gp.Marginal method) (pymc.gp.MarginalApprox method) (pymc.gp.MarginalKron method) (pymc.gp.TP method) MarginalApprox (class in pymc.gp) MarginalKron (class in pymc.gp) Markov Chain Markov Chain Monte Carlo Matern32 (class in pymc.gp.cov) Matern52 (class in pymc.gp.cov) matrix_dot() (in module pymc.math) matrix_inverse (in module pymc.math) MatrixNormal (class in pymc) maximum (in module pymc.math) Maximum a Posteriori MCMC MeanField (class in pymc) Metropolis (class in pymc) metropolis_proportional() (pymc.CategoricalGibbsMetropolis method) MH (class in pymc.smc.kernels) Minibatch() (in module pymc) minimum (in module pymc.math) Mixture (class in pymc) Model (class in pymc) model_to_graphviz() (in module pymc) model_to_networkx() (in module pymc) modelcontext() (in module pymc) module pymc.backends pymc.gp pymc.gp.cov pymc.gp.mean pymc.math pymc.ode pymc.smc pymc.variational.operators moment() (pymc.AsymmetricLaplace method) (pymc.Bernoulli method) (pymc.Beta method) (pymc.BetaBinomial method) (pymc.Binomial method) (pymc.CAR method) (pymc.Categorical method) (pymc.Cauchy method) (pymc.ChiSquared method) (pymc.DiracDelta method) (pymc.Dirichlet method) (pymc.DirichletMultinomial method) (pymc.DiscreteUniform method) (pymc.DiscreteWeibull method) (pymc.ExGaussian method) (pymc.Exponential method) (pymc.Flat method) (pymc.Gamma method) (pymc.Geometric method) (pymc.Gumbel method) (pymc.HalfCauchy method) (pymc.HalfFlat method) (pymc.HalfNormal method) (pymc.HalfStudentT method) (pymc.HyperGeometric method) (pymc.Interpolated method) (pymc.InverseGamma method) (pymc.KroneckerNormal method) (pymc.Kumaraswamy method) (pymc.Laplace method) (pymc.LKJCorr method) (pymc.Logistic method) (pymc.LogitNormal method) (pymc.LogNormal method) (pymc.MatrixNormal method) (pymc.Moyal method) (pymc.Multinomial method) (pymc.MvNormal method) (pymc.MvStudentT method) (pymc.NegativeBinomial method) (pymc.Normal method) (pymc.Pareto method) (pymc.Poisson method) (pymc.PolyaGamma method) (pymc.Rice method) (pymc.SkewNormal method) (pymc.StickBreakingWeights method) (pymc.StudentT method) (pymc.Triangular method) (pymc.TruncatedNormal method) (pymc.Uniform method) (pymc.VonMises method) (pymc.Wald method) (pymc.Weibull method) momentum() (in module pymc) Moyal (class in pymc) mro() (pymc.GaussianRandomWalk method) (pymc.MvGaussianRandomWalk method) (pymc.MvStudentTRandomWalk method) Multinomial (class in pymc) MultiTrace (class in pymc.backends.base) MultivariateNormalProposal (class in pymc) MutableData() (in module pymc) mutate() (pymc.smc.kernels.IMH method) (pymc.smc.kernels.MH method) (pymc.smc.kernels.SMC_KERNEL method) MvGaussianRandomWalk (class in pymc) MvNormal (class in pymc) MvStudentT (class in pymc) MvStudentTRandomWalk (class in pymc) N name_for() (pymc.Model method) name_of() (pymc.Model method) NDArray (class in pymc.backends) ndim_supp() (pymc.AR class method) NegativeBinomial (class in pymc) neq (in module pymc.math) nesterov_momentum() (in module pymc) next() (pymc.GeneratorAdapter method) No-U-Turn Sampler norm_constraint() (in module pymc) Normal (class in pymc) NormalMixture (class in pymc) NormalProposal (class in pymc) NUTS (class in pymc) O ODE ones_like() (in module pymc.math) or_ (in module pymc.math) Ordered (class in pymc.distributions.transforms) OrderedLogistic (class in pymc) OrderedMultinomial (class in pymc) OrderedProbit (class in pymc) Ordinary Differential Equation Overdispersion P Pareto (class in pymc) parse_dist_params() (pymc.CustomDist class method) perform() (pymc.ode.DifferentialEquation method) (pymc.SymbolicRandomVariable method) Periodic (class in pymc.gp.cov) PMF Point() (in module pymc) point() (pymc.backends.base.BaseTrace method) (pymc.backends.base.MultiTrace method) (pymc.backends.NDArray method) point_logps() (pymc.Model method) points() (pymc.backends.base.MultiTrace method) Poisson (class in pymc) PoissonProposal (class in pymc) PolyaGamma (class in pymc) Polynomial (class in pymc.gp.cov) Posterior Potential() (in module pymc) power_spectral_density() (pymc.gp.cov.Cosine method) (pymc.gp.cov.Exponential method) (pymc.gp.cov.ExpQuad method) (pymc.gp.cov.Matern32 method) (pymc.gp.cov.Matern52 method) (pymc.gp.cov.Periodic method) (pymc.gp.cov.RatQuad method) predict() (pymc.gp.HSGP method) (pymc.gp.Latent method) (pymc.gp.LatentKron method) (pymc.gp.Marginal method) (pymc.gp.MarginalApprox method) (pymc.gp.MarginalKron method) (pymc.gp.TP method) predictions_to_inference_data() (in module pymc) prepare_node() (pymc.ode.DifferentialEquation method) (pymc.SymbolicRandomVariable method) Prior prior() (pymc.gp.HSGP method) (pymc.gp.Latent method) (pymc.gp.LatentKron method) (pymc.gp.Marginal method) (pymc.gp.MarginalApprox method) (pymc.gp.MarginalKron method) (pymc.gp.TP method) prior_linearized() (pymc.gp.HSGP method) Probability Mass Function probit() (in module pymc) prod() (in module pymc.math) profile() (pymc.Model method) pymc.backends module pymc.gp module pymc.gp.cov module pymc.gp.mean module pymc.math module pymc.ode module pymc.smc module pymc.variational.operators module R R_op() (pymc.ode.DifferentialEquation method) (pymc.SymbolicRandomVariable method) RatQuad (class in pymc.gp.cov) record() (pymc.backends.base.BaseTrace method) (pymc.backends.NDArray method) refine() (pymc.ADVI method) (pymc.ASVGD method) (pymc.FullRankADVI method) (pymc.ImplicitGradient method) (pymc.Inference method) (pymc.KLqp method) (pymc.SVGD method) register() (pymc.GaussianRandomWalk method) (pymc.Group class method) (pymc.MvGaussianRandomWalk method) (pymc.MvStudentTRandomWalk method) register_rv() (pymc.Model method) replace_rvs_by_values() (pymc.Model method) resample() (pymc.smc.kernels.IMH method) (pymc.smc.kernels.MH method) (pymc.smc.kernels.SMC_KERNEL method) reset() (pymc.HamiltonianMC method) (pymc.NUTS method) reset_tuning() (pymc.CompoundStep method) (pymc.DEMetropolisZ method) (pymc.HamiltonianMC method) (pymc.Metropolis method) (pymc.NUTS method) Rice (class in pymc) rmap() (pymc.DictToArrayBijection static method) rmsprop() (in module pymc) rslice() (pymc.Approximation method) (pymc.Empirical method) (pymc.FullRank method) (pymc.MeanField method) run_profiling() (pymc.ADVI method) (pymc.ASVGD method) (pymc.FullRankADVI method) (pymc.ImplicitGradient method) (pymc.Inference method) (pymc.KLqp method) (pymc.SVGD method) rv_op() (pymc.AR class method) (pymc.Censored class method) (pymc.EulerMaruyama class method) (pymc.GARCH11 class method) (pymc.Mixture class method) (pymc.Simulator class method) (pymc.Truncated class method) (pymc.ZeroSumNormal class method) rv_size_is_none() (in module pymc.distributions.shape_utils) S sample() (in module pymc) (pymc.Approximation method) (pymc.Empirical method) (pymc.FullRank method) (pymc.MeanField method) sample_approx() (in module pymc) sample_blackjax_nuts() (in module pymc.sampling.jax) sample_node() (pymc.Approximation method) (pymc.Empirical method) (pymc.FullRank method) (pymc.MeanField method) sample_numpyro_nuts() (in module pymc.sampling.jax) sample_posterior_predictive() (in module pymc) sample_posterior_predictive_w() (in module pymc) sample_prior_predictive() (in module pymc) sample_settings() (pymc.smc.kernels.IMH method) (pymc.smc.kernels.MH method) (pymc.smc.kernels.SMC_KERNEL method) sample_smc() (in module pymc.smc) sample_stats() (pymc.smc.kernels.IMH method) (pymc.smc.kernels.MH method) (pymc.smc.kernels.SMC_KERNEL method) ScaledCov (class in pymc.gp.cov) set_data() (in module pymc) (pymc.Model method) set_dim() (pymc.Model method) set_grad_overrides() (pymc.SymbolicRandomVariable method) set_initval() (pymc.Model method) set_lop_overrides() (pymc.SymbolicRandomVariable method) set_rop_overrides() (pymc.SymbolicRandomVariable method) set_size_and_deterministic() (pymc.Approximation method) (pymc.Empirical method) (pymc.FullRank method) (pymc.Group method) (pymc.MeanField method) setup() (pymc.backends.base.BaseTrace method) (pymc.backends.NDArray method) setup_kernel() (pymc.smc.kernels.IMH method) (pymc.smc.kernels.MH method) (pymc.smc.kernels.SMC_KERNEL method) sgd() (in module pymc) sgn() (in module pymc.math) shape_from_dims() (pymc.Model method) sigmoid (in module pymc.math) simplex (in module pymc.distributions.transforms) Simulator (class in pymc) sin (in module pymc.math) sinh (in module pymc.math) SkewNormal (class in pymc) Slice (class in pymc) smartfloatX() (in module pymc) SMC_KERNEL (class in pymc.smc.kernels) sqr (in module pymc.math) sqrt (in module pymc.math) square_dist() (pymc.gp.cov.Cosine method) (pymc.gp.cov.Exponential method) (pymc.gp.cov.ExpQuad method) (pymc.gp.cov.Gibbs method) (pymc.gp.cov.Matern32 method) (pymc.gp.cov.Matern52 method) (pymc.gp.cov.Periodic method) (pymc.gp.cov.RatQuad method) stack() (in module pymc.math) Stein (class in pymc) step() (pymc.BinaryGibbsMetropolis method) (pymc.BinaryMetropolis method) (pymc.CategoricalGibbsMetropolis method) (pymc.CompoundStep method) (pymc.DEMetropolis method) (pymc.DEMetropolisZ method) (pymc.HamiltonianMC method) (pymc.Metropolis method) (pymc.NUTS method) (pymc.Slice method) StickBreakingWeights (class in pymc) stop_tuning() (pymc.BinaryGibbsMetropolis method) (pymc.BinaryMetropolis method) (pymc.CategoricalGibbsMetropolis method) (pymc.CompoundStep method) (pymc.DEMetropolis method) (pymc.DEMetropolisZ method) (pymc.HamiltonianMC method) (pymc.Metropolis method) (pymc.NUTS method) (pymc.Slice method) str_for_dist() (in module pymc) str_for_model() (in module pymc) str_for_potential_or_deterministic() (in module pymc) StudentT (class in pymc) sum() (in module pymc.math) sum_to_1 (in module pymc.distributions.transforms) SumTo1 (class in pymc.distributions.transforms) SVGD (class in pymc) switch (in module pymc.math) symbolic_sample_over_posterior() (pymc.Approximation method) (pymc.Empirical method) (pymc.FullRank method) (pymc.Group method) (pymc.MeanField method) symbolic_single_sample() (pymc.Approximation method) (pymc.Empirical method) (pymc.FullRank method) (pymc.Group method) (pymc.MeanField method) SymbolicRandomVariable (class in pymc) T tan (in module pymc.math) tanh (in module pymc.math) tensor_like to_flat_input() (pymc.Approximation method) (pymc.Empirical method) (pymc.FullRank method) (pymc.Group method) (pymc.MeanField method) to_inference_data() (in module pymc) to_tuple() (in module pymc.distributions.shape_utils) total_norm_constraint() (in module pymc) TP (class in pymc.gp) trace() (in module pymc.math) trace_cov() (in module pymc) Triangular (class in pymc) Truncated (class in pymc) TruncatedNormal (class in pymc) tune() (pymc.smc.kernels.IMH method) (pymc.smc.kernels.MH method) (pymc.smc.kernels.SMC_KERNEL method) U Underdispersion Uniform (class in pymc) UniformProposal (class in pymc) unnamed_distribution update() (pymc.SymbolicRandomVariable method) update_beta_and_weights() (pymc.smc.kernels.IMH method) (pymc.smc.kernels.MH method) (pymc.smc.kernels.SMC_KERNEL method) update_start_vals() (pymc.Model method) V var_to_data() (pymc.Group method) VonMises (class in pymc) W Wald (class in pymc) WarpedInput (class in pymc.gp.cov) Weibull (class in pymc) where (in module pymc.math) WhiteNoise (class in pymc.gp.cov) Wishart (class in pymc) WishartBartlett() (in module pymc) Z Zero (class in pymc.gp.mean) ZeroInflatedBinomial (class in pymc) ZeroInflatedNegativeBinomial (class in pymc) ZeroInflatedPoisson (class in pymc) zeros_like() (in module pymc.math) ZeroSumNormal (class in pymc) ZeroSumTransform (class in pymc.distributions.transforms)