Bayesian spatial modeling of complex and high dimensional data /

Likelihood, Bayesian and MCMC methods in quantitative genetics /
by: Sorensen, Daniel
Published: (2002)

Bayesian uncertainty quantification for large scale spatial inverse problems /
by: Mondal, Anirban
Published: (2012)

Bayesian analysis for large spatial data /
by: Park, Jincheol
Published: (2012)

Bayesian Models for Gene Regulatory Networks Applied to Cancer Tissues /
by: Mohanty, Anwoy Kumar
Published: (2015)

An Integrated Computational Framework for the Accelerated Development of Tailored Additively Manufactured Metals /
by: Ranaiefar, Meelad
Published: (2023)

Markov chains : analytic and Monte Carlo computations /
by: Graham, C. (Carl)
Published: (2014)

Bayesian optimization /
by: Garnett, Roman
Published: (2023)

On Selected Topics in Space Domain Awareness /
by: Mishra, Utkarsh Ranjan
Published: (2023)

Monte Carlo methods in Bayesian computation /
by: Chen, Ming-Hui, 1961-
Published: (2000)

Markov chain Monte Carlo : innovations and applications /
Published: (2005)

Population SAMC, ChIP-chip data analysis and beyond /
by: Wu, Mingqi
Published: (2011)

Bayesian hierarchical model for combining two-resolution metrology data /
by: Xia, Haifeng
Published: (2010)

Thermo-hydrological-mechanical analysis of a clay barrier for radioactive waste isolation : probabilistic calibration and advanced modeling /
by: Dontha, Lakshman
Published: (2012)

Bayesian Spanning Tree Models for Complex Spatial Data /
by: Luo, Zhao Tang
Published: (2023)

Handbook of Markov chain Monte Carlo /
Published: (2011)

Advanced Markov chain Monte Carlo methods : learning from past samples /
by: Liang, F. (Faming), 1970-
Published: (2010)

Non-homogeneous Markov chains and systems : theory and applications /
by: Vassiliou, P-C. G. (Panos-C. G.)
Published: (2023)

Sequential Monte Carlo methods for nonlinear discrete-time filtering /
by: Bruno, Marcelo G. S.
Published: (2013)

Statistical Inference for Models with Intractable Normalizing Constants /
by: Jin, Ick Hoon
Published: (2013)

Bayesian Gaussian graphical models using sparse selection priors and their mixtures /
by: Talluri, Rajesh
Published: (2012)

Markov chains and Monte Carlo calculations in polymer science /
Published: (1970)

New Monte Carlo methods with estimating derivatives /
by: Mikhaĭlov, G. A. (Gennadiĭ Alekseevich)
Published: (1995)

Parametric estimates by the Monte Carlo method /
by: Mikhaĭlov, G. A. (Gennadiĭ Alekseevich)
Published: (1999)

Efficient quadrature rules for illumination integrals : from quasi Monte Carlo to Bayesian Monte Carlo /
by: Marques, Ricardo, et al.
Published: (2015)

Bayesian model selection for high-dimensional high-throughput data /
by: Joshi, Adarsh
Published: (2012)

Bayesian analysis of stochastic process models /
by: Ríos Insua, David, 1964-
Published: (2012)

Discretization and MCMC convergence assessment /
Published: (1998)

Understanding computational Bayesian statistics /
by: Bolstad, William M., 1943-
Published: (2010)

Bayesian network technologies : applications and graphical models /
Published: (2007)

Computationally Efficient Low-Rank Algorithms for Gaussian Process Regression /
by: Thomas, Emil
Published: (2023)

Automated parallelization of discrete state-space generation /
by: Nicol, David M.
Published: (2000)

Two stochastic processes /
by: Beekman, John A.
Published: (1974)

Bayesian signal processing : classical, modern, and particle filtering methods /
by: Candy, James V.
Published: (2009)

Bayesian inference /
Published: (1995)

Bayesian data analysis /
Published: (1995)

Nonparametric Bayesian analysis of some clustering problems /
by: Ray, Shubhankar, 1979-
Published: (2006)