Bayesian Inference.

Statistical Analysis of Empirical Data = Methods for Applied Sciences / by: (Language materials, printed)

Statistical Remedies for Medical Researchers by: (Language materials, printed)

Statistics for Data Science and Policy Analysis by: (Language materials, printed)

Likelihood and Bayesian Inference = With Applications in Biology and Medicine / by: (Language materials, printed)

Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection by: (Language materials, printed)

Case Studies in Applied Bayesian Data Science = CIRM Jean-Morlet Chair, Fall 2018 / by: (Language materials, printed)

Bayesian Compendium by: (Language materials, printed)

Time Series Analysis for the State-Space Model with R/Stan by: (Language materials, printed)

Reliability Assessment of Safety and Production Systems = Analysis, Modelling, Calculations and Case Studies / by: (Language materials, printed)

Advances in Statistics - Theory and Applications = Honoring the Contributions of Barry C. Arnold in Statistical Science / by: (Language materials, printed)

Advanced Sampling Methods by: (Language materials, printed)

Survival Analysis = Proportional and Non-Proportional Hazards Regression / by: (Language materials, printed)

Statistical Inversion of Electromagnetic Logging Data by: (Language materials, printed)

Bayesian Optimization with Application to Computer Experiments by: (Language materials, printed)

An Introduction to Bayesian Inference, Methods and Computation by: (Language materials, printed)

Event Attendance Prediction in Social Networks by: (Language materials, printed)

Non-Gaussian Autoregressive-Type Time Series by: (Language materials, printed)

The Significance Test Controversy Revisited = The Fiducial Bayesian Alternative / by: (Language materials, printed)

Probabilistic Risk Analysis and Bayesian Decision Theory by: (Language materials, printed)

Modern Biostatistical Methods for Evidence-Based Global Health Research by: (Language materials, printed)

Regularized System Identification = Learning Dynamic Models from Data / by: (Language materials, printed)

Statistical Hypothesis Testing with Microsoft ® Office Excel ® by: (Language materials, printed)

Bayesian Inference and Computation in Reliability and Survival Analysis by: (Language materials, printed)

Uncertainty in Engineering = Introduction to Methods and Applications / by: (Language materials, printed)

Multi-Level Bayesian Models for Environment Perception by: (Language materials, printed)

Data Assimilation Fundamentals = A Unified Formulation of the State and Parameter Estimation Problem / by: (Language materials, printed)

Optimal experimental design = a concise introduction for researchers / by: (Language materials, printed)

Stein estimation by: (Language materials, printed)

Bayesian statistics, new generations new approaches = BAYSM 2022, Montreal, Canada, June 22-23 / by: (Language materials, printed)

Statistical modeling using Bayesian latent Gaussian models = with applications in geophysics and environmental sciences / by: (Language materials, printed)

Estimating presence and abundance of closed populations by: (Language materials, printed)

Developments in statistical modelling by: (Language materials, printed)

Bayesian compendium by: (Language materials, printed)

An introduction to statistical data science = theory and models / by: (Language materials, printed)

Nonparametric Bayesian inference = contributions by Jean-Marie Rolin / by: (Language materials, printed)

Statistical significance and the PHC curve by: (Language materials, printed)

Bayesian spatial modelling with conjugate prior models by: (Language materials, printed)

Statistical methods for environmental mixtures = a primer in environmental epidemiology / by: (Language materials, printed)

Neutrosophic paradigms: advancements in decision making and statistical analysis = neutrosophic principles for handling uncertainty / by: (Language materials, printed)

Generalized linear models and extensions by: (Language materials, printed)

Log-linear models and logistic regression by: (Language materials, printed)