Bayesian Scientific Computing

Daniela Calvetti,Erkki Somersalo

Mathematics and Statistics (R0)

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Idioma:English
ISBN:9783031238246
Fecha de lanzamiento:10 mar 2023
Editorial:Springer International Publishing

Edición:Springer
Formato de archivo:EPUB3
Tamaño de archivo:28.63 MB
Opciones de descarga:EPUB3 (Adobe DRM)

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Bayesian Scientific Computing

¿Por qué leer con nosotros?

Sinopsis

Acerca de este libro

Detalles del libro

Cómo leer

Lecturas relacionadas

Probability, Markov Chains, Queues, and Simulation

Numerical Analysis

McGraw-Hill's 500 College Linear Algebra Questions to Know by Test Day

Elements of Information Theory

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Performance Analysis of Complex Networks and Systems

Numerical Methods for Stochastic Computations

Matrix Algebra

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Nonlinear Optimization

Numerical Analysis for Engineers and Scientists

Introduction to Stochastic Processes with R

Numerical Differential Equations: Theory And Technique, Ode Methods, Finite Differences, Finite Elements And Collocation

Foundations of Signal Processing

Optimal Control for Chemical Engineers

An Introduction to Optimization

An Introduction to Benford's Law

Queues

Mathematical Methods in Economics

Matrix Algebra Useful for Statistics

Introduction to Wavelet Transforms

Math In Economics (Second Edition)

Model Checking Quantum Systems

Data Assimilation

Numerical Linear Algebra

Mathematics for Engineers

Fundamentals of Data Analytics

The Theory and Applications of Iteration Methods

An Explanation of Constrained Optimization for Economists

An Introduction to Computational Stochastic PDEs

Random Processes By Example

Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics

Introduction to Matrix Analytic Methods in Queues 1

Mathematics for Computer Scientists

Non-Smooth and Complementarity-Based Distributed Parameter Systems

Classical and Modern Numerical Analysis

Introduction to Linear Algebra

Monte-Carlo Methods and Stochastic Processes

Dynamic Systems Models

Visualizing Linear Models

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