Posts tagged
21 January 2025 - Time Series Models Derived From a Generative Graph
21 September 2024 - Confirmatory Factor Analysis and Structural Equation Models in Psychometrics
21 January 2024 - Baby Births Modelling with HSGPs
21 September 2023 - GLM: Negative Binomial Regression
21 April 2023 - Regression Models with Ordered Categorical Outcomes
31 July 2022 - Gaussian Processes using numpy kernel
31 May 2022 - General API quickstart
21 March 2022 - Bayesian moderation analysis
21 February 2022 - Binomial regression
08 January 2022 - Dirichlet mixtures of multinomials
07 January 2022 - Bayesian Estimation Supersedes the T-Test
18 September 2021 - Marginalized Gaussian Mixture Model
16 September 2021 - Dirichlet process mixtures for density estimation
Posts tagged ABC
31 May 2022 - Approximate Bayesian Computation
Posts tagged BART
21 May 2024 - Categorical regression
21 January 2024 - Bayesian Non-parametric Causal Inference
25 January 2023 - Quantile Regression with BART
21 January 2023 - Modeling Heteroscedasticity with BART
21 December 2021 - Bayesian Additive Regression Trees: Introduction
Posts tagged Bayes Factors
10 January 2023 - Bayes Factors and Marginal Likelihood
Posts tagged Bayesian workflow
02 April 2022 - Model building and expansion for golf putting
Posts tagged CO2
21 April 2022 - Gaussian Process for CO2 at Mauna Loa
Posts tagged DEMetropolis
18 January 2023 - DEMetropolis and DEMetropolis(Z) Algorithm Comparisons
Posts tagged DEMetropolis(Z)
18 January 2023 - DEMetropolis(Z) Sampler Tuning
Posts tagged JAX
11 July 2023 - Faster Sampling with JAX and Numba
05 February 2023 - Pathfinder Variational Inference
24 March 2022 - How to wrap a JAX function for use in PyMC
Posts tagged ODE
16 January 2023 - ODE Lotka-Volterra With Bayesian Inference in Multiple Ways
Posts tagged PCA
19 March 2022 - Factor analysis
Posts tagged PyTensor
16 January 2023 - ODE Lotka-Volterra With Bayesian Inference in Multiple Ways
05 August 2022 - Fitting a Reinforcement Learning Model to Behavioral Data with PyMC
02 August 2022 - How to debug a model
24 March 2022 - How to wrap a JAX function for use in PyMC
16 December 2021 - Using a “black box” likelihood function
Posts tagged Reinforcement Learning
05 August 2022 - Fitting a Reinforcement Learning Model to Behavioral Data with PyMC
Posts tagged SMC
31 May 2022 - Approximate Bayesian Computation
19 October 2021 - Sequential Monte Carlo
Posts tagged Simpson's paradox
21 September 2024 - Simpson’s paradox
Posts tagged ab test
23 May 2021 - Introduction to Bayesian A/B Testing
Posts tagged approximation
13 January 2023 - Empirical Approximation overview
Posts tagged auto-imputation
09 November 2024 - GLM-missing-values-in-covariates
Posts tagged autoregressive
24 August 2024 - The prevalence of malaria in the Gambia
18 August 2023 - The Besag-York-Mollie Model for Spatial Data
07 January 2023 - Analysis of An AR(1) Model in PyMC
20 October 2022 - Forecasting with Structural AR Timeseries
29 July 2022 - Conditional Autoregressive (CAR) Models for Spatial Data
Posts tagged bayesian imputation
21 February 2023 - Bayesian Missing Data Imputation
Posts tagged bayesian inference
14 January 2024 - Categories and Curves
07 January 2024 - The Garden of Forking Data
07 January 2024 - Social Networks
07 January 2024 - Ordered Categories
07 January 2024 - Multilevel Models
07 January 2024 - Multilevel Adventures
07 January 2024 - Modeling Events
07 January 2024 - Missing Data
07 January 2024 - Measurement and Misclassification
07 January 2024 - Markov Chain Monte Carlo
07 January 2024 - Horoscopes
07 January 2024 - Good & Bad Controls
07 January 2024 - Geocentric Models
07 January 2024 - Generalized Linear Madness
07 January 2024 - Gaussian Processes
07 January 2024 - Fitting Over & Under
07 January 2024 - Elemental Confounds
07 January 2024 - Counts and Hidden Confounds
07 January 2024 - Correlated Features
Posts tagged bayesian structural timeseries
20 October 2022 - Forecasting with Structural AR Timeseries
Posts tagged bayesian workflow
09 November 2024 - GLM-missing-values-in-covariates
27 October 2024 - GLM-ordinal-features
Posts tagged binned data
23 October 2021 - Estimating parameters of a distribution from awkwardly binned data
Posts tagged binomial regression
21 February 2022 - Binomial regression
Posts tagged calibration
21 January 2023 - Reliability Statistics and Predictive Calibration
Posts tagged case study
24 October 2022 - A Primer on Bayesian Methods for Multilevel Modeling
17 June 2022 - Stochastic Volatility model
17 April 2022 - NBA Foul Analysis with Item Response Theory
23 October 2021 - Estimating parameters of a distribution from awkwardly binned data
23 May 2021 - Introduction to Bayesian A/B Testing
Posts tagged categorical regression
21 June 2023 - Discrete Choice and Random Utility Models
Posts tagged categorical variables
14 January 2024 - Categories and Curves
Posts tagged causal impact
21 October 2022 - Interrupted time series analysis
Posts tagged causal inference
21 September 2024 - Simpson’s paradox
07 January 2024 - Good & Bad Controls
21 October 2022 - Interrupted time series analysis
21 September 2022 - Difference in differences
21 April 2022 - Regression discontinuity design analysis
Posts tagged censored
21 January 2023 - Reliability Statistics and Predictive Calibration
17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model
17 January 2023 - Bayesian Survival Analysis
21 September 2022 - Bayesian regression with truncated or censored data
21 May 2022 - Censored Data Models
Posts tagged cfa
21 September 2024 - Confirmatory Factor Analysis and Structural Equation Models in Psychometrics
Posts tagged classification
21 April 2022 - Gaussian Mixture Model
Posts tagged competing risks
21 November 2023 - Frailty and Survival Regression Models
Posts tagged confounding
07 January 2024 - Elemental Confounds
Posts tagged controls
07 January 2024 - Good & Bad Controls
Posts tagged copula
21 December 2023 - Bayesian copula estimation: Describing correlated joint distributions
Posts tagged correlated features
07 January 2024 - Correlated Features
Posts tagged count data
24 August 2024 - The prevalence of malaria in the Gambia
18 August 2023 - The Besag-York-Mollie Model for Spatial Data
29 July 2022 - Conditional Autoregressive (CAR) Models for Spatial Data
Posts tagged counterfactuals
21 October 2022 - Interrupted time series analysis
21 September 2022 - Difference in differences
21 April 2022 - Regression discontinuity design analysis
Posts tagged cox process
Posts tagged cross validation
08 January 2022 - GLM: Model Selection
Posts tagged debiased machine learning
21 January 2024 - Bayesian Non-parametric Causal Inference
Posts tagged debugging
02 August 2022 - How to debug a model
Posts tagged deployment
22 February 2023 - Using ModelBuilder class for deploying PyMC models
Posts tagged diagnostics
31 May 2022 - Sampler Statistics
21 February 2018 - Diagnosing Biased Inference with Divergences
Posts tagged difference in differences
21 September 2022 - Difference in differences
Posts tagged discrete choice
21 June 2023 - Discrete Choice and Random Utility Models
Posts tagged do-operator
Posts tagged extreme
27 September 2022 - Generalized Extreme Value Distribution
Posts tagged factor analysis
19 March 2022 - Factor analysis
Posts tagged forecasting
21 October 2022 - Interrupted time series analysis
20 October 2022 - Forecasting with Structural AR Timeseries
Posts tagged frailty model
21 November 2023 - Frailty and Survival Regression Models
Posts tagged gaussian process
28 June 2024 - Gaussian Processes: HSGP Advanced Usage
10 June 2024 - Gaussian Processes: HSGP Reference & First Steps
21 January 2024 - Baby Births Modelling with HSGPs
06 June 2023 - Gaussian Processes: Latent Variable Implementation
04 June 2023 - Marginal Likelihood Implementation
21 October 2022 - Kronecker Structured Covariances
31 July 2022 - Gaussian Processes using numpy kernel
21 April 2022 - Gaussian Process for CO2 at Mauna Loa
22 March 2022 - Mean and Covariance Functions
21 August 2017 - Student-t Process
Posts tagged gaussian processes
07 January 2024 - Gaussian Processes
Posts tagged generalized linear model
27 October 2024 - GLM-ordinal-features
21 December 2023 - Out-Of-Sample Predictions
21 September 2023 - GLM: Negative Binomial Regression
21 June 2023 - Discrete Choice and Random Utility Models
21 April 2023 - Regression Models with Ordered Categorical Outcomes
28 January 2023 - Rolling Regression
10 January 2023 - Hierarchical Binomial Model: Rat Tumor Example
24 October 2022 - A Primer on Bayesian Methods for Multilevel Modeling
21 September 2022 - Bayesian regression with truncated or censored data
17 April 2022 - NBA Foul Analysis with Item Response Theory
21 February 2022 - Binomial regression
08 January 2022 - GLM: Model Selection
23 September 2021 - GLM: Mini-batch ADVI on hierarchical regression model
Posts tagged generalized linear models
07 January 2024 - Generalized Linear Madness
Posts tagged gradient-free inference
18 January 2023 - DEMetropolis(Z) Sampler Tuning
18 January 2023 - DEMetropolis and DEMetropolis(Z) Algorithm Comparisons
16 January 2023 - ODE Lotka-Volterra With Bayesian Inference in Multiple Ways
Posts tagged graph mutation
Posts tagged hamiltonian monte carlo
07 January 2024 - Markov Chain Monte Carlo
Posts tagged hidden markov model
24 March 2022 - How to wrap a JAX function for use in PyMC
Posts tagged hierarchical
21 February 2023 - Bayesian Missing Data Imputation
Posts tagged hierarchical model
21 September 2024 - Simpson’s paradox
11 July 2023 - Faster Sampling with JAX and Numba
21 April 2023 - Longitudinal Models of Change
28 January 2023 - Hierarchical Partial Pooling
10 January 2023 - Hierarchical Binomial Model: Rat Tumor Example
21 November 2022 - Bayesian Vector Autoregressive Models
24 October 2022 - A Primer on Bayesian Methods for Multilevel Modeling
17 April 2022 - NBA Foul Analysis with Item Response Theory
19 March 2022 - A Hierarchical model for Rugby prediction
23 September 2021 - GLM: Mini-batch ADVI on hierarchical regression model
21 February 2018 - Diagnosing Biased Inference with Divergences
Posts tagged hilbert space approximation
21 January 2024 - Baby Births Modelling with HSGPs
Posts tagged hypothesis testing
07 January 2022 - Bayesian Estimation Supersedes the T-Test
Posts tagged inference
27 September 2022 - Generalized Extreme Value Distribution
Posts tagged latent gaussian process
Posts tagged linear model
21 September 2024 - Simpson’s paradox
02 February 2023 - Multivariate Gaussian Random Walk
10 January 2023 - GLM: Robust Linear Regression
Posts tagged linear regression
09 November 2024 - GLM-missing-values-in-covariates
07 January 2024 - Geocentric Models
Posts tagged logistic regression
07 January 2024 - Modeling Events
21 December 2023 - Out-Of-Sample Predictions
Posts tagged longitudinal data
21 April 2023 - Longitudinal Models of Change
Posts tagged loo
08 January 2022 - GLM: Model Selection
Posts tagged matrix factorization
19 March 2022 - Factor analysis
Posts tagged mcmc
07 January 2024 - Markov Chain Monte Carlo
Posts tagged measurement error
07 January 2024 - Measurement and Misclassification
Posts tagged mediation
21 January 2024 - Bayesian Non-parametric Causal Inference
21 February 2022 - Bayesian mediation analysis
Posts tagged minibatch
30 May 2022 - Variational Inference: Bayesian Neural Networks
Posts tagged missing covariate values
09 November 2024 - GLM-missing-values-in-covariates
Posts tagged missing data
07 January 2024 - Missing Data
21 February 2023 - Bayesian Missing Data Imputation
Posts tagged missing values
09 November 2024 - GLM-missing-values-in-covariates
Posts tagged mixture model
20 January 2024 - Automatic marginalization of discrete variables
21 April 2022 - Gaussian Mixture Model
08 January 2022 - Dirichlet mixtures of multinomials
18 September 2021 - Marginalized Gaussian Mixture Model
16 September 2021 - Dirichlet process mixtures for density estimation
Posts tagged model averaging
21 August 2024 - Model Averaging
Posts tagged model comparison
21 August 2024 - Model Averaging
21 November 2023 - Frailty and Survival Regression Models
10 January 2023 - Bayes Factors and Marginal Likelihood
08 January 2022 - GLM: Model Selection
07 January 2022 - Bayesian Estimation Supersedes the T-Test
Posts tagged model expansion
21 June 2023 - Discrete Choice and Random Utility Models
02 April 2022 - Model building and expansion for golf putting
Posts tagged model fitting
07 January 2024 - Fitting Over & Under
Posts tagged moderation
21 March 2022 - Bayesian moderation analysis
Posts tagged multi-output
Posts tagged multilevel models
07 January 2024 - Multilevel Models
07 January 2024 - Multilevel Adventures
Posts tagged negative binomial regression
21 September 2023 - GLM: Negative Binomial Regression
Posts tagged neural networks
30 May 2022 - Variational Inference: Bayesian Neural Networks
Posts tagged nonparametric
25 January 2023 - Quantile Regression with BART
21 December 2021 - Bayesian Additive Regression Trees: Introduction
21 August 2017 - Student-t Process
Posts tagged numba
11 July 2023 - Faster Sampling with JAX and Numba
Posts tagged ordered categories
07 January 2024 - Ordered Categories
Posts tagged ordinal features
27 October 2024 - GLM-ordinal-features
Posts tagged ordinal regression
27 October 2024 - GLM-ordinal-features
21 April 2023 - Regression Models with Ordered Categorical Outcomes
Posts tagged out of sample predictions
21 December 2023 - Out-Of-Sample Predictions
Posts tagged outliers
17 November 2021 - GLM: Robust Regression using Custom Likelihood for Outlier Classification
Posts tagged panel data
21 September 2022 - Difference in differences
Posts tagged parameter estimation
21 December 2023 - Bayesian copula estimation: Describing correlated joint distributions
23 October 2021 - Estimating parameters of a distribution from awkwardly binned data
Posts tagged path analysis
21 March 2022 - Bayesian moderation analysis
21 February 2022 - Bayesian mediation analysis
Posts tagged perceptron
30 May 2022 - Variational Inference: Bayesian Neural Networks
Posts tagged poisson
30 November 2022 - GLM: Poisson Regression
Posts tagged posterior predictive
21 September 2024 - Simpson’s paradox
27 September 2022 - Generalized Extreme Value Distribution
21 September 2022 - Difference in differences
16 December 2021 - Using Data Containers
Posts tagged prediction
21 January 2023 - Reliability Statistics and Predictive Calibration
Posts tagged priors
21 January 2017 - Updating Priors
Posts tagged probability
07 January 2024 - The Garden of Forking Data
07 January 2024 - Counts and Hidden Confounds
Posts tagged product recommendation
Posts tagged propensity scores
21 January 2024 - Bayesian Non-parametric Causal Inference
Posts tagged prophet
21 April 2022 - Air passengers - Prophet-like model
Posts tagged quantile
25 January 2023 - Quantile Regression with BART
Posts tagged quasi experiments
21 October 2022 - Interrupted time series analysis
21 September 2022 - Difference in differences
21 April 2022 - Regression discontinuity design analysis
Posts tagged r-datasets
27 October 2024 - GLM-ordinal-features
Posts tagged regression
21 September 2024 - Simpson’s paradox
21 September 2024 - Confirmatory Factor Analysis and Structural Equation Models in Psychometrics
21 May 2024 - Categorical regression
02 February 2023 - Multivariate Gaussian Random Walk
28 January 2023 - Rolling Regression
25 January 2023 - Quantile Regression with BART
21 January 2023 - Modeling Heteroscedasticity with BART
10 January 2023 - GLM: Robust Linear Regression
30 November 2022 - GLM: Poisson Regression
21 September 2022 - Difference in differences
21 September 2022 - Bayesian regression with truncated or censored data
04 June 2022 - Splines
21 April 2022 - Regression discontinuity design analysis
21 February 2022 - Bayesian mediation analysis
10 February 2022 - Lasso regression with block updating
21 December 2021 - Bayesian Additive Regression Trees: Introduction
17 November 2021 - GLM: Robust Regression using Custom Likelihood for Outlier Classification
Posts tagged robust
10 January 2023 - GLM: Robust Linear Regression
17 November 2021 - GLM: Robust Regression using Custom Likelihood for Outlier Classification
Posts tagged sampling
Posts tagged scaling
11 July 2023 - Faster Sampling with JAX and Numba
Posts tagged scientific workflow
07 January 2024 - Horoscopes
Posts tagged sem
21 September 2024 - Confirmatory Factor Analysis and Structural Equation Models in Psychometrics
Posts tagged shared data
16 December 2021 - Using Data Containers
Posts tagged social networks
07 January 2024 - Social Networks
Posts tagged spatial
24 August 2024 - The prevalence of malaria in the Gambia
18 August 2023 - The Besag-York-Mollie Model for Spatial Data
29 July 2022 - Conditional Autoregressive (CAR) Models for Spatial Data
Posts tagged splines
14 January 2024 - Categories and Curves
Posts tagged sports
02 April 2022 - Model building and expansion for golf putting
19 March 2022 - A Hierarchical model for Rugby prediction
Posts tagged statistical rethinking
14 January 2024 - Categories and Curves
07 January 2024 - The Garden of Forking Data
07 January 2024 - Social Networks
07 January 2024 - Ordered Categories
07 January 2024 - Multilevel Models
07 January 2024 - Multilevel Adventures
07 January 2024 - Modeling Events
07 January 2024 - Missing Data
07 January 2024 - Measurement and Misclassification
07 January 2024 - Markov Chain Monte Carlo
07 January 2024 - Horoscopes
07 January 2024 - Good & Bad Controls
07 January 2024 - Geocentric Models
07 January 2024 - Generalized Linear Madness
07 January 2024 - Gaussian Processes
07 January 2024 - Fitting Over & Under
07 January 2024 - Elemental Confounds
07 January 2024 - Counts and Hidden Confounds
07 January 2024 - Correlated Features
Posts tagged step method
Posts tagged survival analysis
21 November 2023 - Frailty and Survival Regression Models
21 January 2023 - Reliability Statistics and Predictive Calibration
17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model
17 January 2023 - Bayesian Survival Analysis
21 May 2022 - Censored Data Models
Posts tagged t-process
21 August 2017 - Student-t Process
Posts tagged time series
21 January 2025 - Time Series Models Derived From a Generative Graph
06 June 2023 - Gaussian Processes: Latent Variable Implementation
04 June 2023 - Marginal Likelihood Implementation
21 April 2023 - Longitudinal Models of Change
02 February 2023 - Multivariate Gaussian Random Walk
07 January 2023 - Analysis of An AR(1) Model in PyMC
21 November 2022 - Bayesian Vector Autoregressive Models
21 October 2022 - Interrupted time series analysis
21 September 2022 - Difference in differences
17 June 2022 - Stochastic Volatility model
21 April 2022 - Air passengers - Prophet-like model
21 July 2016 - Inferring parameters of SDEs using a Euler-Maruyama scheme
Posts tagged time-to-failure
21 January 2023 - Reliability Statistics and Predictive Calibration
Posts tagged truncated
21 September 2022 - Bayesian regression with truncated or censored data
Posts tagged variational inference
05 February 2023 - Pathfinder Variational Inference
13 January 2023 - Introduction to Variational Inference with PyMC
13 January 2023 - Empirical Approximation overview
30 May 2022 - Variational Inference: Bayesian Neural Networks
23 September 2021 - GLM: Mini-batch ADVI on hierarchical regression model
Posts tagged vector autoregressive model
21 November 2022 - Bayesian Vector Autoregressive Models
Posts tagged waic
08 January 2022 - GLM: Model Selection
Posts tagged weibull
17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model