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Bayesian Data Analysis
, 1995
"... I actually own a copy of Harold Jeffreys’s Theory of Probability but have only read small bits of it, most recently over a decade ago to confirm that, indeed, Jeffreys was not too proud to use a classical chisquared pvalue when he wanted to check the misfit of a model to data (Gelman, Meng and Ste ..."
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Cited by 2194 (63 self)
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I actually own a copy of Harold Jeffreys’s Theory of Probability but have only read small bits of it, most recently over a decade ago to confirm that, indeed, Jeffreys was not too proud to use a classical chisquared pvalue when he wanted to check the misfit of a model to data (Gelman, Meng
Beyond Market Baskets: Generalizing Association Rules To Dependence Rules
, 1998
"... One of the more wellstudied problems in data mining is the search for association rules in market basket data. Association rules are intended to identify patterns of the type: “A customer purchasing item A often also purchases item B. Motivated partly by the goal of generalizing beyond market bask ..."
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Cited by 634 (6 self)
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basket data and partly by the goal of ironing out some problems in the definition of association rules, we develop the notion of dependence rules that identify statistical dependence in both the presence and absence of items in itemsets. We propose measuring significance of dependence via the chisquared
Spacetime block codes from orthogonal designs
 IEEE Trans. Inform. Theory
, 1999
"... Abstract — We introduce space–time block coding, a new paradigm for communication over Rayleigh fading channels using multiple transmit antennas. Data is encoded using a space–time block code and the encoded data is split into � streams which are simultaneously transmitted using � transmit antennas. ..."
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Cited by 1524 (42 self)
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decoding algorithm. The classical mathematical framework of orthogonal designs is applied to construct space–time block codes. It is shown that space–time block codes constructed in this way only exist for few sporadic values of �. Subsequently, a generalization of orthogonal designs is shown to provide
Tables Of PValues For t And ChiSquare Reference Distributions
, 1997
"... INTRODUCTION An important area of statistical practice involves determination of Pvalues when performing significance testing. If the null reference distribution is standard normal, then many standard statistical texts provide a table of probabilities that may be used to determine the Pvalue; exa ..."
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INTRODUCTION An important area of statistical practice involves determination of Pvalues when performing significance testing. If the null reference distribution is standard normal, then many standard statistical texts provide a table of probabilities that may be used to determine the Pvalue
Posterior Predictive Assessment of Model Fitness Via Realized Discrepancies
 Statistica Sinica
, 1996
"... Abstract: This paper considers Bayesian counterparts of the classical tests for goodness of fit and their use in judging the fit of a single Bayesian model to the observed data. We focus on posterior predictive assessment, in a framework that also includes conditioning on auxiliary statistics. The B ..."
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Cited by 348 (39 self)
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to compute the reference distribution for the test, but that in the classical framework no such distribution exists, independent of the unknown model parameters. Key words and phrases: Bayesian pvalue, χ 2 test, discrepancy, graphical assessment, mixture model, model criticism, posterior predictive pvalue
Evaluating Interval Forecasts
 International Economic Review
, 1997
"... This paper is intended to address the deficiency by clearly defining what is meant by a "good" interval forecast, and describing how to test if a given interval forecast deserves the label "good". One of the motivations of Engle's (1982) classic paper was to form dynamic int ..."
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Cited by 364 (11 self)
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to the interval forecasts provided by J.P. Morgan (1995). Furthermore, the socalled "ValueatRisk" measures suggested for risk measurement correspond to tail forecasts, i.e., onesided interval forecasts of portfolio returns. Lopez (1996) evaluates these types of forecasts applying the procedures
pcorr Corrected Pvalue
"... Short title CTSB mutations in tropical calcific pancreatitis Abbreviations χ2 Chisquare CFTR Cystic fibrosis transmembrane regulator ..."
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Short title CTSB mutations in tropical calcific pancreatitis Abbreviations χ2 Chisquare CFTR Cystic fibrosis transmembrane regulator
“What Is Better Than ChiSquare?” and Related Koans
, 2005
"... A koan is an enigmatic, and often senseless, question posed as an aid to meditation in Zen Buddhism. By “chisquare”, we mean Pearson’s general scheme of a pvalue, or tail, statistic that is constructed as a sum of independent random variables, each of which is the square of a normal deviate N(0, 1 ..."
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Cited by 1 (0 self)
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A koan is an enigmatic, and often senseless, question posed as an aid to meditation in Zen Buddhism. By “chisquare”, we mean Pearson’s general scheme of a pvalue, or tail, statistic that is constructed as a sum of independent random variables, each of which is the square of a normal deviate N(0
• Statistical test • chisquare, ttest, Fisher, … • Association measure • Mutual information, conditional probability, ∆P, …
"... Adjusting pvalues for heterogeneity ..."
Maximally selected chisquare statistics and umbrella orderings
, 2006
"... Binary outcomes that depend on an ordinal predictor in a nonmonotonic way are common in medical data analysis. Such patterns can be addressed in terms of cutpoints: for example, one looks for two cutpoints that define an interval in the range of the ordinal predictor for which the probability of a ..."
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chisquare 1 distribution is an inappropriate approach. It is then necessary to correct the pvalue for multiple comparisons by considering the distribution of the maximally selected chisquare statistic instead of the nominal chisquare distribution. Here, we derive the exact distribu
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