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Analyzing Data Through Probabilistic Modeling In Statistics

Analyzing Data Through Probabilistic Modeling in Statistics PDF
Author: Jakóbczak, Dariusz Jacek
Publisher: IGI Global
ISBN: 1799847071
Size: 76.69 MB
Format: PDF, Docs
Category : Mathematics
Languages : en
Pages : 331
View: 5852

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Analyzing Data Through Probabilistic Modeling In Statistics

by Jakóbczak, Dariusz Jacek, Analyzing Data Through Probabilistic Modeling In Statistics Books available in PDF, EPUB, Mobi Format. Download Analyzing Data Through Probabilistic Modeling In Statistics books, Probabilistic modeling represents a subject arising in many branches of mathematics, economics, and computer science. Such modeling connects pure mathematics with applied sciences. Similarly, data analyzing and statistics are situated on the border between pure mathematics and applied sciences. Therefore, when probabilistic modeling meets statistics, it is a very interesting occasion that has gained much research recently. With the increase of these technologies in life and work, it has become somewhat essential in the workplace to have planning, timetabling, scheduling, decision making, optimization, simulation, data analysis, and risk analysis and process modeling. However, there are still many difficulties and challenges that arrive in these sectors during the process of planning or decision making. There continues to be the need for more research on the impact of such probabilistic modeling with other approaches. Analyzing Data Through Probabilistic Modeling in Statistics is an essential reference source that builds on the available literature in the field of probabilistic modeling, statistics, operational research, planning and scheduling, data extrapolation in decision making, probabilistic interpolation and extrapolation in simulation, stochastic processes, and decision analysis. This text will provide the resources necessary for economics and management sciences and for mathematics and computer sciences. This book is ideal for interested technology developers, decision makers, mathematicians, statisticians and practitioners, stakeholders, researchers, academicians, and students looking to further their research exposure to pertinent topics in operations research and probabilistic modeling.




Analyzing Risk Through Probabilistic Modeling In Operations Research

Analyzing Risk through Probabilistic Modeling in Operations Research PDF
Author: Jakóbczak, Dariusz Jacek
Publisher: IGI Global
ISBN: 1466694599
Size: 42.68 MB
Format: PDF, ePub, Docs
Category : Business & Economics
Languages : en
Pages : 442
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Analyzing Risk Through Probabilistic Modeling In Operations Research

by Jakóbczak, Dariusz Jacek, Analyzing Risk Through Probabilistic Modeling In Operations Research Books available in PDF, EPUB, Mobi Format. Download Analyzing Risk Through Probabilistic Modeling In Operations Research books, Probabilistic modeling represents a subject spanning many branches of mathematics, economics, and computer science to connect pure mathematics with applied sciences. Operational research also relies on this connection to enable the improvement of business functions and decision making. Analyzing Risk through Probabilistic Modeling in Operations Research is an authoritative reference publication discussing the various challenges in management and decision science. Featuring exhaustive coverage on a range of topics within operational research including, but not limited to, decision analysis, data mining, process modeling, probabilistic interpolation and extrapolation, and optimization methods, this book is an essential reference source for decision makers, academicians, researchers, advanced-level students, technology developers, and government officials interested in the implementation of probabilistic modeling in various business applications.




Scalable Optimization Via Probabilistic Modeling

Scalable Optimization via Probabilistic Modeling PDF
Author: Martin Pelikan
Publisher: Springer Science & Business Media
ISBN: 3540349537
Size: 30.58 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 349
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Scalable Optimization Via Probabilistic Modeling

by Martin Pelikan, Scalable Optimization Via Probabilistic Modeling Books available in PDF, EPUB, Mobi Format. Download Scalable Optimization Via Probabilistic Modeling books, I’m not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited volumes fail. For example, take the title, Scalable Optimization via Probabilistic M- eling: From Algorithms to Applications. You need not worry that you’re going to pick up this book and ?nd stray articles about anything else. This book focuseslikealaserbeamononeofthehottesttopicsinevolutionary compu- tion over the last decade or so: estimation of distribution algorithms (EDAs). EDAs borrow evolutionary computation’s population orientation and sel- tionism and throw out the genetics to give us a hybrid of substantial power, elegance, and extensibility. The article sequencing in most edited volumes is hard to understand, but from the get go the editors of this volume have assembled a set of articles sequenced in a logical fashion. The book moves from design to e?ciency enhancement and then concludes with relevant applications. The emphasis on e?ciency enhancement is particularly important, because the data-mining perspectiveimplicitinEDAsopensuptheworldofoptimizationtonewme- ods of data-guided adaptation that can further speed solutions through the construction and utilization of e?ective surrogates, hybrids, and parallel and temporal decompositions.




Guide To Programs

Guide to Programs PDF
Author: National Science Foundation (U.S.)
Publisher:
ISBN:
Size: 61.50 MB
Format: PDF, Kindle
Category :
Languages : en
Pages :
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Guide To Programs

by National Science Foundation (U.S.), Guide To Programs Books available in PDF, EPUB, Mobi Format. Download Guide To Programs books,




Corrosion Engineering

Corrosion Engineering PDF
Author:
Publisher:
ISBN:
Size: 57.59 MB
Format: PDF, ePub, Mobi
Category : Corrosion and anti-corrosives
Languages : en
Pages :
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Corrosion Engineering

by , Corrosion Engineering Books available in PDF, EPUB, Mobi Format. Download Corrosion Engineering books,




Probabilistic Models For Aluminum Microstructure And Intergranular Fracture Analysis

Probabilistic Models for Aluminum Microstructure and Intergranular Fracture Analysis PDF
Author: Sanjay Raja Arwade
Publisher:
ISBN:
Size: 73.70 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages : 286
View: 979

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Probabilistic Models For Aluminum Microstructure And Intergranular Fracture Analysis

by Sanjay Raja Arwade, Probabilistic Models For Aluminum Microstructure And Intergranular Fracture Analysis Books available in PDF, EPUB, Mobi Format. Download Probabilistic Models For Aluminum Microstructure And Intergranular Fracture Analysis books,




Bayesian Analysis With Python

Bayesian Analysis with Python PDF
Author: Osvaldo Martin
Publisher: Packt Publishing Ltd
ISBN: 1785889850
Size: 57.52 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 282
View: 177

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Bayesian Analysis With Python

by Osvaldo Martin, Bayesian Analysis With Python Books available in PDF, EPUB, Mobi Format. Download Bayesian Analysis With Python books, Unleash the power and flexibility of the Bayesian framework About This Book Simplify the Bayes process for solving complex statistical problems using Python; Tutorial guide that will take the you through the journey of Bayesian analysis with the help of sample problems and practice exercises; Learn how and when to use Bayesian analysis in your applications with this guide. Who This Book Is For Students, researchers and data scientists who wish to learn Bayesian data analysis with Python and implement probabilistic models in their day to day projects. Programming experience with Python is essential. No previous statistical knowledge is assumed. What You Will Learn Understand the essentials Bayesian concepts from a practical point of view Learn how to build probabilistic models using the Python library PyMC3 Acquire the skills to sanity-check your models and modify them if necessary Add structure to your models and get the advantages of hierarchical models Find out how different models can be used to answer different data analysis questions When in doubt, learn to choose between alternative models. Predict continuous target outcomes using regression analysis or assign classes using logistic and softmax regression. Learn how to think probabilistically and unleash the power and flexibility of the Bayesian framework In Detail The purpose of this book is to teach the main concepts of Bayesian data analysis. We will learn how to effectively use PyMC3, a Python library for probabilistic programming, to perform Bayesian parameter estimation, to check models and validate them. This book begins presenting the key concepts of the Bayesian framework and the main advantages of this approach from a practical point of view. Moving on, we will explore the power and flexibility of generalized linear models and how to adapt them to a wide array of problems, including regression and classification. We will also look into mixture models and clustering data, and we will finish with advanced topics like non-parametrics models and Gaussian processes. With the help of Python and PyMC3 you will learn to implement, check and expand Bayesian models to solve data analysis problems. Style and approach Bayes algorithms are widely used in statistics, machine learning, artificial intelligence, and data mining. This will be a practical guide allowing the readers to use Bayesian methods for statistical modelling and analysis using Python.




Project Economics And Decision Analysis Probabilistic Models

Project Economics and Decision Analysis  Probabilistic models PDF
Author: M. A. Mian
Publisher: PennWell Books
ISBN: 9780878148554
Size: 41.68 MB
Format: PDF, ePub
Category : Business & Economics
Languages : en
Pages : 411
View: 5173

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Project Economics And Decision Analysis Probabilistic Models

by M. A. Mian, Project Economics And Decision Analysis Probabilistic Models Books available in PDF, EPUB, Mobi Format. Download Project Economics And Decision Analysis Probabilistic Models books, This comprehensive two-volume set provides all the necessary concepts of capital investment evaluation, capital budgeting, and decision analysis. Mian takes the reader step-by-step through the decision making process, providing comprehensive coverage of all decision analysis tools currently available while outlining how investment decisions are made under different stages of risk. Further, he focuses on practical application, using a straightfoward approach with solved 'real-life' examples and solutions, end-of-chapter problems, and illustrations throughout the book.