Statistics

Statistics for Business, Finance & Economics

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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach

1st Edition

Robert P. Haining, Guangquan Li
February 07, 2020

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear...

Inhomogeneous Random Evolutions and Their Applications

1st Edition

Anatoliy Swishchuk
December 12, 2019

Inhomogeneous Random Evolutions and Their Applications explains how to model various dynamical systems in finance and insurance with non-homogeneous in time characteristics. It includes modeling for: financial underlying and derivatives via Levy processes with time-dependent characteristics;...

Time Series: A First Course with Bootstrap Starter

1st Edition

Tucker S. McElroy, Dimitris N. Politis
December 09, 2019

Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness, (ii) computational illustration and implementation, and (iii) conciseness and accessibility to upper-level undergraduate and M.S....

Financial Modelling in Commodity Markets

1st Edition

Viviana Fanelli
December 09, 2019

Financial Modelling in Commodity Markets provides a basic and self-contained introduction to the ideas underpinning financial modelling of products in commodity markets. The book offers a concise and operational vision of the main models used to represent, assess and simulate real assets and...

Practical Spreadsheet Modeling Using @Risk

1st Edition

Dale Lehman, Huybert Groenendaal
December 02, 2019

Practical Spreadsheet Modeling Using @Risk provides a guide of how to construct applied decision analysis models in spreadsheets. The focus is on the use of Monte Carlo simulation to provide quantitative assessment of uncertainties and key risk drivers. The book presents numerous examples based on...

Hands-On Machine Learning with R

1st Edition

Brad Boehmke, Brandon M. Greenwell
November 11, 2019

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply...

Regression Modeling: Methods, Theory, and Computation with SAS

1st Edition

Michael Panik
October 07, 2019

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs....

Risk Analysis in Finance and Insurance

2nd Edition

Alexander Melnikov
September 25, 2019

Risk Analysis in Finance and Insurance, Second Edition presents an accessible yet comprehensive introduction to the main concepts and methods that transform risk management into a quantitative science. Taking into account the interdisciplinary nature of risk analysis, the author discusses many...

Measuring Society

1st Edition

Chaitra H. Nagaraja
August 09, 2019

Collecting and analyzing data on unemployment, inflation, and inequality help describe the complex world around us. When published by the government, such data are called official statistics. They are reported by the media, used by politicians to lend weight to their arguments, and by economic...

Metamodeling for Variable Annuities

1st Edition

Guojun Gan, Emiliano A. Valdez
July 11, 2019

This book is devoted to the mathematical methods of metamodeling that can be used to speed up the valuation of large portfolios of variable annuities. It is suitable for advanced undergraduate students, graduate students, and practitioners. It is the goal of this book to describe the computational...

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

1st Edition

Silvia Bacci, Bruno Chiandotto
July 08, 2019

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in...

Teaching Data Analytics: Pedagogy and Program Design

1st Edition

Susan A Vowels, Katherine Leaming Goldberg
June 28, 2019

The need for analytics skills is a source of the burgeoning growth in the number of analytics and decision science programs in higher education developed to feed the need for capable employees in this area. The very size and continuing growth of this need means that there is still space for new...

Conferences

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