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16,189
Choices, values and frames.
- American Psychologist,
, 1984
"... Making decisions is like speaking prose-people do it all the time, knowingly or unknowingly. It is hardly surprising, then, that the topic of decision making is shared by many disciplines, from mathematics and statistics, through economics and political science, to sociology and psychology. The stu ..."
Abstract
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Cited by 684 (9 self)
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Making decisions is like speaking prose-people do it all the time, knowingly or unknowingly. It is hardly surprising, then, that the topic of decision making is shared by many disciplines, from mathematics and statistics, through economics and political science, to sociology and psychology
Genomic control for association studies
, 1999
"... A dense set of single nucleotide polymorphisms (SNP) covering the genome and an efficient method to assess SNP genotypes are expected to be available in the near future. An outstanding question is how to use these technologies efficiently to identify genes affecting liability to complex disorders. ..."
Abstract
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Cited by 480 (13 self)
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. To achieve this goal, we propose a statistical method that has several optimal properties: It can be used with casecontrol data and yet, like family-based designs, controls for population heterogeneity; it is insensitive to the usual violations of model assumptions, such as cases failing to be strictly
Regularized discriminant analysis
- J. Amer. Statist. Assoc
, 1989
"... Linear and quadratic discriminant analysis are considered in the small sample high-dimensional setting. Alternatives to the usual maximum likelihood (plug-in) estimates for the covariance matrices are proposed. These alternatives are characterized by two parameters, the values of which are customize ..."
Abstract
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Cited by 468 (2 self)
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are customized to individual situations by jointly minimizing a sample based estimate of future misclassification risk. Computationally fast implementations are presented, and the efficacy of the approach is examined through simulation studies and application to data. These studies indicate that in many
Investing for the long run when returns are predictable
- Journal of Finance
, 2000
"... We examine how the evidence of predictability in asset returns affects optimal portfolio choice for investors with long horizons. Particular attention is paid to estimation risk, or uncertainty about the true values of model parameters. We find that even after incorporating parameter uncertainty, th ..."
Abstract
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Cited by 444 (0 self)
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, there is enough predictability in returns to make investors allocate substantially more to stocks, the longer their horizon. Moreover, the weak statistical significance of the evidence for predictability makes it important to take estimation risk into account; a long-horizon investor who ignores it may
Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation
- American Political Science Review
, 2000
"... We propose a remedy for the discrepancy between the way political scientists analyze data with missing values and the recommendations of the statistics community. Methodologists and statisticians agree that "multiple imputation" is a superior approach to the problem of missing data scatter ..."
Abstract
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Cited by 419 (50 self)
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method recommended in the statistics literature. We also quantify the risks of current missing data practices, ...
Attitudes towards Risk. Experimental Measurement in Rural India
, 1978
"... Attitudes toward risk were measured in 240 households using two methods: an interview method eliciting certainty equivalents and an experimental gambling approach with real payoffs which, at their maximum, exceeded monthly incomes of unskilled laborers. The interview method is subject to interviewer ..."
Abstract
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Cited by 353 (3 self)
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aversion slightly, but its effect is not statistically significant. Key words: India, psychological experiments, risk aversion, semi-arid tropics. The research reported here was carried out in the semi-arid, tropical areas of India, charac-terized by high climatic risk for agriculture. It was initiated
The Variance Gamma Process and Option Pricing.
- European Finance Review
, 1998
"... : A three parameter stochastic process, termed the variance gamma process, that generalizes Brownian motion is developed as a model for the dynamics of log stock prices. The process is obtained by evaluating Brownian motion with drift at a random time given by a gamma process. The two additional par ..."
Abstract
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Cited by 365 (34 self)
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parameters are the drift of the Brownian motion and the volatility of the time change. These additional parameters provide control over the skewness and kurtosis of the return distribution. Closed forms are obtained for the return density and the prices of European options. The statistical and risk neutral
Support Vector Machines for Classification and Regression
- UNIVERSITY OF SOUTHAMPTON, TECHNICAL REPORT
, 1998
"... The problem of empirical data modelling is germane to many engineering applications.
In empirical data modelling a process of induction is used to build up a model of the
system, from which it is hoped to deduce responses of the system that have yet to be observed.
Ultimately the quantity and qualit ..."
Abstract
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Cited by 357 (5 self)
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for parameter selection and the statistical measures used
to select the ’best’ model. The foundations of Support Vector Machines (SVM) have
been developed by Vapnik (1995) and are gaining popularity due to many attractive
features, and promising empirical performance. The formulation embodies the Structural
MDL, Penalized Likelihood, and Statistical Risk
"... Abstract-We determine, for both countable and uncountable collections of functions, information-theoretic conditions on a penalty pen(f ) such that the optimizerf of the penalized log likelihood criterion log 1/likelihood(f )+pen(f ) has risk not more than the index of resolvability corresponding t ..."
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Abstract-We determine, for both countable and uncountable collections of functions, information-theoretic conditions on a penalty pen(f ) such that the optimizerf of the penalized log likelihood criterion log 1/likelihood(f )+pen(f ) has risk not more than the index of resolvability corresponding
MDL Procedures with ℓ1 Penalty and their Statistical Risk
"... Abstract — We review recently developed theory for the Minimum Description Length principle, penalized likelihood and its statistical risk. An information theoretic condition on a penalty pen(f) yields the conclusion that the optimizer of the penalized log likelihood criterion log 1/likelihood(f) + ..."
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Abstract — We review recently developed theory for the Minimum Description Length principle, penalized likelihood and its statistical risk. An information theoretic condition on a penalty pen(f) yields the conclusion that the optimizer of the penalized log likelihood criterion log 1/likelihood
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