Thema Wahrscheinlichkeitsrechnung und Statistik – alle Bücher, Seite 5

Vikram Krishnamurthy
Partially Observed Markov Decision Processes

This survey of formulation, algorithms, and structural results in POMDPs focuses on underlying concepts and connections to real-world applications in controlled sensing, keeping technical machinery to a m…

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Yury A. Kutoyants
Hidden Markov Processes and Adaptive Filtering

1 Auxiliary Result.- 2 Small Noise in Both Equations.- 3 Small Noise in Observations.- 4 Hidden Ergodic O-U process.- 5 Hidden Telegraph Process.- 6 Hidden AR Process.- 7 Source Localization.

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Francesco Leofante, Matthew Wicker
Robust Explainable AI

SpringerBriefs in Intelligent Systems

The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models. While several approaches exist to generate…

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Luca Leuzzi, Enzo Marinari, Giorgio Parisi
Probability Theory for Quantitative Scientists

Based on the long-running Probability Theory course at the Sapienza University of Rome, this book offers a fresh and in-depth approach to probability and statistics, while remaining intuitive and accessib…

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Steven D. Levitt, Stephen J. Dubner
Freakonomics Twentieth Anniversary Edition

The legendary bestseller that made millions look at the world in a radically different way returns in a beautiful 20th anniversary edition featuring a new forewordWhich is more dangerous: a gun or a swimm…

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Pawe¿ Lorek, Tomasz Rolski
Lectures on Monte Carlo Theory

Probability Theory and Stochastic Modelling - Band 108

This book presents a broad range of computational techniques based on repeated random sampling, widely known as Monte Carlo methods and sometimes as stochastic simulation. These methods bring together ide…

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Junwei Lu
Big Data Analysis

This book covers the methods and theory of high dimensional probability, statistics, large-scale optimization, and inference. We aim to quickly bring readers to the frontier and interdisciplinary areas of…

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Xiao Lu
Quantile Modeling for Political Research

Quantile models are widely used across the natural and social sciences to analyze heterogeneous phenomena that mean-based methods often obscure. Yet their adoption in political science remains limited, in…

lieferbar ab 30.6.2026.

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Xiao Lu
Quantile Modeling for Political Research

Quantile models are widely used across the natural and social sciences to analyze heterogeneous phenomena that mean-based methods often obscure. Yet their adoption in political science remains limited, in…

lieferbar ab 30.6.2026.

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Albert C. J. Luo
Two-dimensional Product-cubic Systems, Vol.II

This book, the sixth of 15 related monographs, discusses singularity and networks of equilibriums and 1-diemsnional flows in product quadratic and cubic systems. The author explains how, in the networks, …

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John H. Maindonald, W. John Braun, Jeffrey L. Andrews
A Practical Guide to Data Analysis Using R

Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on th…

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Sarit Maitra
A Practical Guide to Static and Dynamic Econometric Modelling

Contributions to Economics

This book provides a comprehensive guide to econometric modeling, combining theory with practical implementation using Python. It covers key econometric concepts, from data collection and model specificat…

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Sarit Maitra
Non-Linearity in Econometric Modeling, Vol. 1

Nonlinear models are indispensable in modern finance, yet their reliance on numerical root-finding methods introduces layers of complexity that demand careful attention. This textbook offers a comprehensi…

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Sarit Maitra
Non-Linearity in Econometric Modeling, Vol. 2

Dynamic Modeling and Econometrics in Economics and Finance

Nonlinear models have become indispensable in modern finance and economics, yet their reliance on numerical root-finding methods introduces layers of complexity that demand rigorous attention. This second…

lieferbar ab 16.5.2026.

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Reiner Marchthaler, Sebastian Dingler
Kalman Filter

This textbook presents the theory of Kalman filtering in an easy-to-understand way. The authors provide an introduction to Kalman filters and their application in embedded systems. In addition, the design…

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Nicolas Marie
From Nonparametric Regression to Statistical Inference for Non-Ergodic Diffusion Processes

Frontiers in Probability and the Statistical Sciences

This book is about copies-based nonparametric estimation of the drift function in stochastic differential equations (SDEs) driven by Brownian motion, a jump process, or fractional Brownian motion. While t…

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Wolfgang Matschke, Marc Möllers, Eberhard Endres
STARK Mathematik VERA 8 - Prüfungsvorbereitung

Zentrale Tests und Prüfungen

Mathematik 8. Klasse - VERA 8 - PrüfungsvorbereitungDas passende Buch zur gezielten Vorbereitung auf die VERA-8-Prüfung (bundesweit zentral gestellte Vergleichsarbeiten der 8. Klasse) im Fach Mathematik f…

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Ulrich Matter
An Introduction to Web Mining

Use R!

This book is devoted to the art and science of web mining --- showing how the world's largest information source can be turned into structured, research-ready data. Drawing on many years of teaching gradu…

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Matteo Mazziotta, Adriano Pareto
Statistics for Composite Indicators

SxI - Springer for Innovation / SxI - Springer per l'Innovazione - Band 18

This book provides a systematic and integrated approach to construct measures of complex and multidimensional concepts called composite indicators. One of the most pressing needs of scientists and policy …

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Carlos Mejía-Monasterio, Lamberto Rondoni
Nonequilibrium Statistical Mechanics I

Theoretical and Mathematical Physics

This textbook offers a clear, unified introduction to nonequilibrium statistical mechanics. It combines the classical foundations of equilibrium and nonequilibrium thermodynamics with the field's latest a…

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