Explore Books on
bayesian analysis

Introduction to probability models

By Sheldon M. Ross

Introduction to probability models

By Sheldon M. Ross

Principles of uncertainty

By Joseph B. Kadane

Predictive inference

By Seymour Geisser

Handbook of the Shapley Value

By Encarnación Algaba,Vito Fragnelli,Joaquín Sánchez-Soriano

Optimizing Engineering Problems Through Heuristic Techniques

By Kaushik Kumar,Divya Zindani,J. Paulo Davim

Graph Searching Games and Probabilistic Methods

By Anthony Bonato,Pawel Pralat

Statistics for Making Decisions

By Nicholas T. Longford

Random Circulant Matrices

By Arup Bose,Koushik Saha

Introduction to Functional Data Analysis

By Piotr Kokoszka,Matthew Reimherr

Large-scale inference

By Bradley Efron

Bayesian missing data problems

By Ming T. Tan

Markov Chains and Decision Processes for Engineers and Managers

By Theodore J. Sheskin

Fuzzy TOPSIS

By Mohamed El Alaoui

Bayesian Inference with INLA

By Virgilio Gomez-Rubio

Handbook of stochastic analysis and applications

By D. Kannan

Analysis of queues

By Natarajan Gautam

Bayesian Model Selection And Statistical Modeling

By Tomohiro Ando

Reliability Models for Engineers and Scientists

By Mark P. Kaminskiy

Inhomogeneous Random Evolutions and Their Applications

By Anatoliy Swishchuk

Sojourns and Extremes of Stochastic Processes

By Simeon M. Berman

Equation of Knowledge

By Lê Nguyên Hoang

Competitive Math for Middle School

By Vinod Krishnamoorthy

Statistical inference as a bargaining game

By Eduardo Ley