opensource – Examined Algorithms

Categories

All (23)

CausalPy (1)

SCM (1)

accumulation (1)

autoregressive (2)

calibration (1)

causal inference (10)

cfa (1)

conjoint analysis (1)

consumer choice (5)

discrete choice (1)

frailty models (1)

hierarchical_models (1)

imputation (1)

industrial organisation (1)

instrumental variables (2)

likert scales (1)

longitudinal models (1)

missing_data (1)

non parametric (1)

ordinal regression (1)

post-stratification (1)

probability (11)

propensity (1)

propensity scores (1)

pymc (11)

regression (6)

sem (1)

structural econometrics (1)

structural equation models (1)

subjective utility (1)

survey data (1)

survival analysis (1)

survival models (1)

time-to-failure (1)

utility (5)

weighting (1)

Bayesian BLP Demand Estimation in PyMC Marketing

utility

consumer choice

structural econometrics

industrial organisation

Fully Bayesian Random-Coefficients Logit on Aggregate Market-Share Panels (Berry-Levinsohn-Pakes)

Consideration Set Mixed Logit in PyMC Marketing

utility

consumer choice

causal inference

Bayesian Estimation of a Two-Stage Consideration-then-Choice Mixed Logit Model

MaxDiff Conjoint Analysis in PyMC Marketing

utility

consumer choice

conjoint analysis

Hierarchical Bayesian Best-Worst Scaling (MaxDiff) for Item Preference Estimation

Survival Analysis and the Sorites Paradox

regression

accumulation

survival analysis

Survival Analysis as Regression with Bambi

Bayesian Mixed Logit in PyMC Marketing

utility

consumer choice

causal inference

Bayesian Estimation of Mixed Logit Discrete Choice Model

Structural Causal Models

causal inference

SCM

CausalPy

Introduction to Structural Causal Models in CausalPy

Bayesian Workflow with Structural Equation Models

probability

pymc

structural equation models

causal inference

Structural Equation Models with PyMC

Design and Analysis: Paradox of Bayesian Propensity Scores

regression

propensity scores

causal inference

Paradox of Bayesian Propensity Estimation

Bayesian Nested Logit in PyMC Marketing

utility

consumer choice

causal inference

Bayesian Estimation of Nested Logit Discrete Choice Model

SEM and CFA in PyMC

probability

pymc

sem

cfa

Bayesian Measurement Models and Structural Regressions

Justifying Instruments in CausalPy

regression

instrumental variables

causal inference

Credibility in Bayesian IV designs

Inverse Propensity Score Weighting in CausalPy

regression

propensity

causal inference

weighting

Propensity Weighting Adjustment for Causal Inference

Bayesian Non Parametric Causal Inference in PyMC

probability

pymc

non parametric

causal inference

Non Parametric Causal Models and Mediation Analysis

Frailty Survival Models in PyMC

probability

pymc

survival models

frailty models

Accelerated Failure and Hierarchical Survival Models for Attrition Models

Multilevel Regression and Post-Stratification

regression

post-stratification

survey data

Weighting Adjustments as Correctives for Survey Bias

Bayesian IV Regression in CausalPy

regression

instrumental variables

causal inference

Bayesian IV designs as Structural Multivariate Models

Discrete Choice Models in PyMC

probability

pymc

discrete choice

subjective utility

Latent Utility Econometric Models for Demand Estimation

Ordinal Regression Models in PyMC

probability

pymc

ordinal regression

likert scales

Ordinal Regression for analysing Survey Response data

Longitudinal Models in PyMC

probability

pymc

longitudinal models

Hierarchical Regression based Growth Models

Missing Data Imputation in PyMC

probability

pymc

missing_data

imputation

Missing data imputation and Employee Engagement Surveys

Reliability Statistics in PyMC

probability

pymc

time-to-failure

calibration

Reliability assessment with Survival analysis in PyMC

Bayesian Vector Autoregressive Models in PyMC

probability

pymc

autoregressive

hierarchical_models

VAR and Hierarchical VARs for GDP models in PyMC

Autoregressive Forecasting in PyMC

probability

pymc

autoregressive

Implementing Autoregressive Structural forecasting models in PyMC