WorldCat Identities

Klemens, Ben

Overview
Works: 9 works in 68 publications in 3 languages and 2,620 library holdings
Roles: Author
Classifications: K1519.C6, 346.048
Publication Timeline
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Most widely held works by Ben Klemens
Math you can't use patents, copyright, and software by Ben Klemens( )

12 editions published between 2005 and 2006 in English and German and held by 1,670 WorldCat member libraries worldwide

"Gathering persepectives from law, computer science, mathematics, and economics, examines the intellectual property issues surrounding computer software and suggests how patents might accommodate the unique structure of code and copyright for software could be more effectively implemented"--Provided by publisher
Modeling with data tools and techniques for scientific computing by Ben Klemens( )

14 editions published between 2008 and 2009 in English and held by 553 WorldCat member libraries worldwide

Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results. Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures. He then demonstrates how to easily apply these tools to the many threads o
21st century C by Ben Klemens( Book )

34 editions published between 2012 and 2015 in English and German and held by 384 WorldCat member libraries worldwide

Information aggregation, with application to monotone ordering, advocacy, and conviviality by Ben Klemens( Book )

3 editions published in 2003 in English and held by 6 WorldCat member libraries worldwide

Chapter 1 presents a convenient notation for describing methods of aggregating information to form posterior distributions, allowing a description of Bayesian updating and many of the cognitive errors people commit in the lab. Chapter 2 looks at the monotone ordering problem: if the prior distributions are ordered in some manner, what updating operations will preserve that ordering? Bayesian updating is a member of a small class of operators which preserve the monotone likelihood ratio property, but is not in the class of functions which preserve first-order stochastic dominance. It also considers ordering distributions by their medians, which is useful for Political Science and other decision making applications
Finding optimal agent-based models by Ben Klemens( )

1 edition published in 2007 in English and held by 2 WorldCat member libraries worldwide

"This paper applies standard maximum likelihood (ML) techniques to find an optimal agent-based model (ABM), where optimal could refer to replicating a pattern or matching observed data. Because ML techniques produce a covariance matrix for the parameter estimates, the method here provides a means of determining to which parameters and conditions the ABM is sensitive, and which have limited effect on the outcome. Because the search method and the space of models searched is explicitly specified, the derivation of the final ABM is transparent and replicable. Hypotheses regarding parameters can be tested using standard likelihood ratio methods" -- title page
Empirical performance of a decentralized civil violence model( )

1 edition published in 2010 in English and held by 2 WorldCat member libraries worldwide

This paper provides an empirical examination of three potential drivers of decentralized rebellion: hardship, regime legitimacy, and repressive capacity. These are drawn from Epstein's (1) theoretical agent-based computational model published in this journal in 2002. Here, we develop a parsimonious three-variable probit model and test its statistical power against incidence data of decentralized rebellion drawn from the Political Instability Task Force dataset. We find the model's explanatory power to be high, with the signs predicted in the theoretical model supported at high significance. The results are found to be robust across a variety of statistical instruments for the theoretical independent variables. Epistemologically, this article also demonstrates the value of theory-driven econometrics
21 shi ji C yu yan by Ben Klemens( Book )

1 edition published in 2014 in Chinese and held by 1 WorldCat member library worldwide

Modeling with data: tools and techniques for scietifioc computing by Ben Klemens( Book )

1 edition published in 2009 in English and held by 1 WorldCat member library worldwide

Information aggregation, with application to monotone ordering, advocacy, and conviviality by Ben Klemens( )

1 edition published in 2003 in Undetermined and held by 1 WorldCat member library worldwide

I. Chapter 1 presents a convenient notation for describing methods of aggregating information to form posterior distributions, allowing a description of Bayesian updating and many of the cognitive errors people commit in the lab. Chapter 2 looks at the monotone ordering problem: if the prior distributions are ordered in some manner, what updating operations will preserve that ordering? Bayesian updating is a member of a small class of operators which preserve the monotone likelihood ratio property, but is not in the class of functions which preserve first-order stochastic dominance. It also considers ordering distributions by their medians, which is useful for Political Science and other decisionmaking applications. II. Chapter 3 presents a literature review of existing models of information aggregation from one party, and gives the very weak conditions under which one or two biased advocates will always reveal full information. Chapter 4 then presents a model of a trial, in which events are grouped into causal stories. Each story may point to a specific verdict, but the judge has leeway in selecting a verdict when multiple stories are shown to simultaneously be sufficient to explain an event. Two judges may be `perfect Bayesians', share the same priors, and still arrive at different verdicts for the same trial. Unlike the information revelation literature to date, there may be apropos stories and facts that neither party will want to reveal in equilibrium. III. Chapter 5 presents a simultaneous model of goods or actions which demonstrate conformity effects. Previous models of such goods universally describe people as acting in sequence; actors in the model here act simultaneously, so they must decide what to do based only on prior information about the distribution of tastes in the society. The shape of this distribution (e.g., centered around zero, skewed upward, or fat-tailed) predicts the number of people who will act in some systematic ways, which I catalog her
 
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Modeling with data tools and techniques for scientific computingModeling with data: tools and techniques for scietifioc computing