Machine Learning and Knowledge Discovery in Databases. Research Track
Author: Albert Bifet
Publisher: Springer Nature
Published:
Total Pages: 510
ISBN-13: 3031703529
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Author: Andrew Gelman
Publisher: Cambridge University Press
Published: 2007
Total Pages: 654
ISBN-13: 9780521686891
DOWNLOAD EBOOKThis book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.
Handbook of Causal Analysis for Social Research
Author: Stephen L. Morgan
Publisher: Springer Science & Business Media
Published: 2013-04-22
Total Pages: 423
ISBN-13: 9400760949
DOWNLOAD EBOOKWhat constitutes a causal explanation, and must an explanation be causal? What warrants a causal inference, as opposed to a descriptive regularity? What techniques are available to detect when causal effects are present, and when can these techniques be used to identify the relative importance of these effects? What complications do the interactions of individuals create for these techniques? When can mixed methods of analysis be used to deepen causal accounts? Must causal claims include generative mechanisms, and how effective are empirical methods designed to discover them? The Handbook of Causal Analysis for Social Research tackles these questions with nineteen chapters from leading scholars in sociology, statistics, public health, computer science, and human development.
Complex Spreading Phenomena in Social Systems
Author: Sune Lehmann
Publisher: Springer
Published: 2018-06-21
Total Pages: 356
ISBN-13: 3319773321
DOWNLOAD EBOOKThis text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there is now experimental evidence that epidemic and social spreading work in subtly different ways. While previously explored through modeling, there is currently an explosion of work on revealing the mechanisms underlying complex contagion based on big data and data-driven approaches. This volume consists of four parts. Part 1 is an Introduction, providing an accessible summary of the state of the art. Part 2 provides an overview of the central theoretical developments in the field. Part 3 describes the empirical work on observing spreading processes in real-world networks. Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily. Each contribution is authored by leading experts in the field. This volume, though based on technical selections of the most important results on complex spreading, remains quite accessible to the newly interested. The main benefit to the reader is that the topics are carefully structured to take the novice to the level of expert on the topic of social spreading processes. This book will be of great importance to a wide field: from researchers in physics, computer science, and sociology to professionals in public policy and public health.
A First Course in Bayesian Statistical Methods
Author: Peter D. Hoff
Publisher: Springer Science & Business Media
Published: 2009-06-02
Total Pages: 270
ISBN-13: 0387924078
DOWNLOAD EBOOKA self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Generative Social Science
Author: Joshua M. Epstein
Publisher: Princeton University Press
Published: 2012-01-02
Total Pages: 379
ISBN-13: 1400842875
DOWNLOAD EBOOKAgent-based computational modeling is changing the face of social science. In Generative Social Science, Joshua Epstein argues that this powerful, novel technique permits the social sciences to meet a fundamentally new standard of explanation, in which one "grows" the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors, represented as mathematical or software objects. After elaborating this notion of generative explanation in a pair of overarching foundational chapters, Epstein illustrates it with examples chosen from such far-flung fields as archaeology, civil conflict, the evolution of norms, epidemiology, retirement economics, spatial games, and organizational adaptation. In elegant chapter preludes, he explains how these widely diverse modeling studies support his sweeping case for generative explanation. This book represents a powerful consolidation of Epstein's interdisciplinary research activities in the decade since the publication of his and Robert Axtell's landmark volume, Growing Artificial Societies. Beautifully illustrated, Generative Social Science includes a CD that contains animated movies of core model runs, and programs allowing users to easily change assumptions and explore models, making it an invaluable text for courses in modeling at all levels.
Spatial Econometrics
Author: J. Paul Elhorst
Publisher: Springer Science & Business Media
Published: 2013-09-30
Total Pages: 125
ISBN-13: 3642403409
DOWNLOAD EBOOKThis book provides an overview of three generations of spatial econometric models: models based on cross-sectional data, static models based on spatial panels and dynamic spatial panel data models. The book not only presents different model specifications and their corresponding estimators, but also critically discusses the purposes for which these models can be used and how their results should be interpreted.
Handbook of Regional Growth and Development Theories
Author: Roberta Capello
Publisher: Edward Elgar Publishing
Published: 2019
Total Pages: 687
ISBN-13: 1788970020
DOWNLOAD EBOOKRegional economics – an established discipline for several decades – has undergone a period of rapid change in the last ten years resulting in the emergence of several new perspectives. At the same time the methodology of regional economics has also experienced some surprising developments. This fully revised and updated Handbook brings together contributions looking at new pathways in regional economics, written by many well-known international scholars. The aim is to present the most cutting-edge theories explaining regional growth and local development. The authors highlight the recent advances in theories, the normative potentialities of these theories and the cross-fertilization of ideas between regional and mainstream economists. It will be an essential source of reference and information for both scholars and students in the field.
Designing Social Inquiry
Author: Gary King
Publisher: Princeton University Press
Published: 1994-05-22
Total Pages: 259
ISBN-13: 0691034710
DOWNLOAD EBOOKDesigning Social Inquiry focuses on improving qualitative research, where numerical measurement is either impossible or undesirable. What are the right questions to ask? How should you define and make inferences about causal effects? How can you avoid bias? How many cases do you need, and how should they be selected? What are the consequences of unavoidable problems in qualitative research, such as measurement error, incomplete information, or omitted variables? What are proper ways to estimate and report the uncertainty of your conclusions?
Experimental and Quasi-experimental Designs for Generalized Causal Inference
Author: William R. Shadish
Publisher: Cengage Learning
Published: 2002
Total Pages: 664
ISBN-13:
DOWNLOAD EBOOKSections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.
