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Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
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Fundamentals of Reinforcement Learning

Posted By: AvaxGenius

Date: 15 Aug 2023 08:02:48

Artificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in strategy games, creative compositing, and autonomous movement. Moreover, it is just starting to transform our civilization.

This book provides an introduction to AI, specifies machine learning techniques, and explores various aspects of reinforcement learning, approaching the latest concepts in a didactic and illustrated manner. It is aimed at students who want to be part of technological advances and professors engaged in the development of innovative applications, helping with academic and industrial challenges.

Understanding the Fundamentals of Reinforcement Learning will allow you to:

Understand essential AI concepts
Gain professional experience
Interpret sequential decision problems and solve them with reinforcement learning
Learn how the Q-Learning algorithm works
Practice with commented Python code
Find advantageous directions

Science Q-Learning Algorithm Deep Learning Machine Learning Artificial Intelligence Markov Chain Reinforcement Learning Software Engineering Development

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Markov Chain Models — Rarity and Exponentiality

Posted By: AvaxGenius

Date: 24 Dec 2022 03:56:57

Markov Chain Models — Rarity and Exponentiality by Julian Keilson
English | PDF | 1979 | 199 Pages | ISBN : 0387904050 | 15.8 MB

in failure time distributions for systems modeled by finite chains. This introductory chapter attempts to provide an over view of the material and ideas covered. The presentation is loose and fragmentary, and should be read lightly initially. Subsequent perusal from time to time may help tie the mat erial together and provide a unity less readily obtainable otherwise. The detailed presentation begins in Chapter 1, and some readers may prefer to begin there directly. §O.l. Time-Reversibility and Spectral Representation. Continuous time chains may be discussed in terms of discrete time chains by a uniformizing procedure (§2.l) that simplifies and unifies the theory and enables results for discrete and continuous time to be discussed simultaneously.

Science Rarity Exponentiality Markov Chain Probability Theory Mathematics

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MCMC from Scratch: A Practical Introduction to Markov Chain Monte Carlo

Posted By: AvaxGenius

Date: 23 Oct 2022 03:41:09

This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC) without assuming advanced knowledge of mathematics and programming. MCMC is a powerful technique that can be used to integrate complicated functions or to handle complicated probability distributions. MCMC is frequently used in diverse fields where statistical methods are important – e.g. Bayesian statistics, quantum physics, machine learning, computer science, computational biology, and mathematical economics. This book aims to equip readers with a sound understanding of MCMC and enable them to write simulation codes by themselves.

MCMC Metropolis Algorithm Numerical simulation Markov Chain Monte Carlo HMC algorithm Computational science Algorithms Statistics Machine Learning Particle Physics Biophysics

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Monte Carlo-Algorithmen (Repost)

Posted By: AvaxGenius

Date: 28 Aug 2022 07:54:02

Monte Carlo-Algorithmen by Thomas Müller-Gronbach, Erich Novak, Klaus Ritter
Deutsch | PDF | 2012 | 332 Pages | ISBN : 3540891404 | 8.1 MB

Der Text gibt eine Einführung in die Mathematik und die Anwendungsmöglichkeiten der Monte Carlo-Methoden und verwendet dazu durchgängig die Sprache der Stochastik. Der Leser lernt die Grundprinzipien und wesentlichen Eigenschaften dieser Verfahren kennen und wird dadurch in den Stand versetzt, dieses wichtige algorithmische Werkzeug kompetent einsetzen und die Ergebnisse interpretieren zu können.

Science Algorithmen Monte Carlo Markov Chain Markov Chain Monte Carlo Monte Carlo-Algorithmen Probability Theory Statistical Theory

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Large Deviations for Markov Chains

Posted By: hill0

Date: 13 Aug 2022 08:55:33

Large Deviations for Markov Chains
English | 2022 | ISBN: 1316511898 | 262 Pages | PDF | 3 MB

Markov Chain Maths

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Automatic Nonuniform Random Variate Generation

Posted By: AvaxGenius

Date: 1 Aug 2022 15:41:46

Automatic Nonuniform Random Variate Generation by Wolfgang Hörmann, Josef Leydold, Gerhard Derflinger
English | PDF | 2004 | 439 Pages | ISBN : 3540406522 | 39.1 MB

Non-uniform random variate generation is an established research area in the intersection of mathematics, statistics and computer science. Although random variate generation with popular standard distributions have become part of every course on discrete event simulation and on Monte Carlo methods, the recent concept of universal (also called automatic or black-box) random variate generation can only be found dispersed in literature.

Science Monte Carlo Methods Markov Chain Monte Carlo Random Variate bayesian statistics Option Pricing Time series Computational Mathematics Numerical Analysis Probability Theory Mathematics Computing Statistics Algorithms Computer Modelling

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Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics

Posted By: AvaxGenius

Date: 29 Jun 2022 12:57:20

This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics).

Science Econometrics Financial Econometrics Analysis Bayesian Analysis Quantum Uncertainty Markov Chain

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Bayesian Computation with R (Repost)

Posted By: AvaxGenius

Date: 11 Mar 2022 04:05:44

Bayesian Computation with R by Jim Albert
English | PDF | 2009 | 304 Pages | ISBN : 0387922970 | 3.2 MB

There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for statistical analyses. R's open source nature, free availability, and large number of contributor packages have made R the software of choice for many statisticians in education and industry.

Science Bayesian Inference Regression Monte Carlo method Monte Carlo Markov Chain Markov Chain Monte Carlo Hierarchical modeling linear regression Probability Theory Stochastic Processes Computational Mathematics Numerical Analysis Mathematical Software Statistical Theory Modeling Visualization Visualization R Bayesian Computation Computation

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Estimating Output-Specific Efficiencies

Posted By: AvaxGenius

Date: 23 Feb 2022 17:33:26

Estimating Output-Specific Efficiencies by Dieter Gstach
English | PDF | 2002 | 210 Pages | ISBN : 1402004834 | 18.8 MB

The present book is the offspring of my Habilitation, which is the key to academic tenure in Austria. Legal requirements demand that a Ha bilitation be published and so only seeing it in print marks the real end of this biographical landmark project. From a scientific perspective I may hope to finally reach a broader audience with this book for a criti cal appraisal of the research done.

Science Markov Chain Monte Carlo Monte Carlo Simulation

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Generators of Markov Chains

Posted By: hill0

Date: 11 Dec 2020 07:07:26

Generators of Markov Chains: From a Walk in the Interior to a Dance on the Boundary
by Adam Bobrowski
English | 2021 | ISBN: 1108495796 | 280 Pages | PDF | 4 MB

Maths Mathematics Markov Chain

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Probability Theory: A Comprehensive Course, Third Edition

Posted By: AvaxGenius

Date: 1 Nov 2020 16:33:26

This popular textbook, now in a revised and expanded third edition, presents a comprehensive course in modern probability theory.

ePub Martingales Statistical Physics Percolation Stochastic Processes Science Stochastic Integration Brownian Motion Integration Theory Mathematics Markov Chain Measure Theory Stochastic Differential Equations Central Limit Theorem

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Partner Choice and Cooperation in Networks: Theory and Experimental Evidence

Posted By: AvaxGenius

Date: 4 Oct 2020 23:44:53

Partner Choice and Cooperation in Networks: Theory and Experimental Evidence by Aljaž Ule
English | PDF | 2008 | 209 Pages | ISBN : 354073015X | 3.16 MB

Cooperation is beneficial but may be hard to achieve in situations where the selfish interests of individuals conflict with their common goal, such as in sharing of goods, help, knowledge or information, in trade and pollution negotiations, and in exploitation of common resources.

Markov Chains Psychology Science linear optimization Simulation Behavior behavior Mathematics Markov Chain game theory

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Boundary Value Problems and Markov Processes: Functional Analysis Methods for Markov Processes

Posted By: AvaxGenius

Date: 2 Jul 2020 01:47:44

Boundary Value Problems and Markov Processes: Functional Analysis Methods for Markov Processes by Kazuaki Taira
English | PDF | 2020 | 502 Pages | ISBN : 3030487873 | 14.88 MB

This 3rd edition provides an insight into the mathematical crossroads formed by functional analysis (the macroscopic approach), partial differential equations (the mesoscopic approach) and probability (the microscopic approach) via the mathematics needed for the hard parts of Markov processes. It brings these three fields of analysis together, providing a comprehensive study of Markov processes from a broad perspective. The material is carefully and effectively explained, resulting in a surprisingly readable account of the subject.

Analytic Semigroup Science Boundary Value Problem Mathematics Markov Markov Chain Elliptic Boundary Value Problem

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Copula-Based Markov Models for Time Series: Parametric Inference and Process Control

Posted By: AvaxGenius

Date: 2 Jul 2020 00:24:52

This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated time series. It also includes data examples from economics, engineering, finance, sport and other disciplines to illustrate the methods presented. An accessible textbook for students in the fields of economics, management, mathematics, statistics, and related fields wanting to gain insights into the statistical analysis of time series data using copulas, the book also features stand-alone chapters to appeal to researchers.

Likelihood Estimator Science Maximum Copula Mathematics Serial Correlation Markov Chain ePub

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