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632
Population Odds, Fitted Odds
"... This project involves the development of an interactive graphing tool to aid lenders in the credit scoring process. Credit scoring is a system in which lenders assess the risk of individual credit applicants to determine whether or not to grant them credit. Our client, Fair, Isaac & Company (FIC ..."
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This project involves the development of an interactive graphing tool to aid lenders in the credit scoring process. Credit scoring is a system in which lenders assess the risk of individual credit applicants to determine whether or not to grant them credit. Our client, Fair, Isaac & Company (FICO), is the world’s leading credit scoring consulting company. They aid in evaluating the current credit lending strategies for several financial institutions. These institutions constantly face tradeoffs such as maximizing profit while still maintaining a competitive market share when determining the optimal cutoff score. A cutoff score is represented by a specific credit score number in which all applicants above this number are accepted and applicants that fall below are denied. Our Capstone team designed a software package to help FICO visualize these tradeoffs incurred when managing credit portfolios. We developed an interactive tool to display the possible risks and/or benefits associated with credit portfolios.
Description of Superdeformed Bands of OddA and OddOdd Mercury and Thallium Nuclei
"... ABSTRACT: The superdeformed (SD) bands of oddA and oddodd Hg–Tl nuclei in the mass region A≈190 have been described well by the BohrMottelson twoterm formula as a model. The concepts of the transition energy ratios and EGamma Over Spin (EGOS) are used to assign the theoretical level spins. Fitt ..."
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ABSTRACT: The superdeformed (SD) bands of oddA and oddodd Hg–Tl nuclei in the mass region A≈190 have been described well by the BohrMottelson twoterm formula as a model. The concepts of the transition energy ratios and EGamma Over Spin (EGOS) are used to assign the theoretical level spins
Support Vector Machines, Reproducing Kernel Hilbert Spaces and the Randomized GACV
, 1998
"... this paper we very briefly review some of these results. RKHS can be chosen tailored to the problem at hand in many ways, and we review a few of them, including radial basis function and smoothing spline ANOVA spaces. Girosi (1997), Smola and Scholkopf (1997), Scholkopf et al (1997) and others have ..."
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Cited by 189 (11 self)
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noted the relationship between SVM's and penalty methods as used in the statistical theory of nonparametric regression. In Section 1.2 we elaborate on this, and show how replacing the likelihood functional of the logit (log odds ratio) in penalized likelihood methods for Bernoulli [yesno] data
Regularized Proportional Odds Models
, 2011
"... The proportional odds model is commonly used in regression analysis to predict the outcome for an ordinal response variable. The maximum likelihood approach becomes unstable or even fails in small samples with relatively large number of predictors.The ML estimates also do not exist with complete s ..."
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used statistical packages supporting the fitting of proportional odds models with weights. Estimates are compared with MLE in a simulation study and two real life data sets.
– Almost identical to the Cumulative Odds
"... Subjects with rheumatoid arthritis develop damage to the joints. We wish to predict the severity of damage. Damage scale: 1. No damage 2. Joint space narrowing 3. Slight evidence of erosion 4. Clear evidence of erosion 5. Worse than 4, not as bad as 6 6. No further damage to joint possible 1 Whatdoy ..."
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Whatdoyoudowithordinaldata? 1. Dichotomise: use logistic regression 2. Pretend there is an interval scale: use linear regression 3. Ignore the ordering: fit a multinomial model 4. Use methods specifically for ordinal data
HAT PROBLEM ON ODD CYCLES
, 2011
"... The topic is the hat problem in which each of n players is randomly fitted with a blue or red hat. Then everybody can try to guess simultaneously his own hat color by looking at the hat colors of the other players. The team wins if at least one player guesses his hat color correctly, and no one gue ..."
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Cited by 2 (2 self)
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The topic is the hat problem in which each of n players is randomly fitted with a blue or red hat. Then everybody can try to guess simultaneously his own hat color by looking at the hat colors of the other players. The team wins if at least one player guesses his hat color correctly, and no one
Goodnessoffit tests for a proportional odds model
, 2013
"... The chisquare type test statistic is the most commonly used test in terms of measuring testing goodnessoffit for multinomial logistic regression model, which has its grouped data (binomial data) and ungrouped (binary) data classified by a covariate pattern. Chisquare type statistic is not a sat ..."
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the Pearson chisquare statistic and deviance tests. These tests involve creating a contingency table in which rows consist of all possible crossclassifications of the model covariates, and columns consist of the levels of the ordinal response. I examined goodnessoffit tests for a proportional odds
Fitting Proportional Odds Models to Educational Data in Ordinal Logistic Regression
, 2008
"... one of the most commonly used models for the analysis of ordinal categorical data and ..."
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one of the most commonly used models for the analysis of ordinal categorical data and
Fitting Proportional Odds Model for Ordered Categorical Data with the NLMIXED Procedure.
"... Three sets of nominal parameter estimates were set up to simulate data with (i) a nonskewed distribution of responses with low IIV, (ii) a skewed distribution with low IIV and (iii) a skewed distribution with high IIV. The last condition was simulated to mimic a real study (Table I) References 1. G ..."
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Three sets of nominal parameter estimates were set up to simulate data with (i) a nonskewed distribution of responses with low IIV, (ii) a skewed distribution with low IIV and (iii) a skewed distribution with high IIV. The last condition was simulated to mimic a real study (Table I) References 1. Gupta SK et al Quantitative characterization of therapeutic index: Application of mixedeffects modeling to evaluate oxybutynin doseefficacy and doseside effect relationships. CPT 1999; 65: 67284. 2. Sheiner LB. A new approach to the analysis of analgesic drug trials, illustrated with bromfenac data. CPT 1994; 56: 30922. 3. Mandema JW, Stanski DR. Population pharmacodynamic model for ketorolac analgesia. CPT 1996; 60: 61935. 4. Mould DR et al Population pharmacokinetic and adverse event analysis of topotecan in patients with solid tumors. CPT 2002; 71: 33448.
Variable selection for the proportional odds model
 Statistics in Medicine
, 2007
"... In this paper we study the problem of variable selection for the proportional odds model, which is a useful alternative to the proportional hazards model and might be appropriate when the proportional hazards assumption is not satisfied. We propose to fit the proportional odds model by maximizing th ..."
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Cited by 8 (2 self)
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In this paper we study the problem of variable selection for the proportional odds model, which is a useful alternative to the proportional hazards model and might be appropriate when the proportional hazards assumption is not satisfied. We propose to fit the proportional odds model by maximizing
Results 1  10
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632