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Statistical-Inference-Theory

SaiSampathKedari / Statistical-Inference-Theory

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Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 6-9), covering essential concepts in Statistical Inference. Topics include Sufficiency, Point Estimation, Hypothesis Testing, and Interval Estimation, crucial for Statistical Machine Learning, Computational Statistics, and Probabilistic Robotics.

statistics statistical-inference probability-distribution bayesian-inference hypothesis-testing em-algorithm maximum-likelihood-estimation statistics-course method-of-moments sufficient-statistics mathmatics fisher-information-matrix statistical-learning-methods mit-18-065 bayes-estimator umich-stats-511
  • Updated Nov 4, 2025
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renb7 / Cox-PG

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Code for: The Cox-Polya-Gamma Algorithm for Flexible Bayesian Inference of Multilevel Survival Models. Weibull PH model based on Cox-PG algorithm has been added (25JAN2026).

bayesian survival multilevel-models kaplan-meier cox-regression cox-model hierarchical-models gibbs-sampler weibull sufficient-statistics smoothing-splines polya-gamma cox-proportional-hazard proportional-hazards non-proportional-hazards smoothing-spline frailty-models cox-polya-gamma cox-pg transformation-model
  • Updated Mar 9, 2026
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