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Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
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- Regularized Analysis of Large p, Small n Data (5)
- Working Papers (4)
- Bayesian analysis (2)
- Order Statistics Model. (1)
- Bioinformatics/Cancer Genomics (1)
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- Conference (1)
- Conjoint analysis (1)
- Contact Frequency (1)
- Extreme Value Theory (1)
- Jeffreys Priors (1)
- Neurosurgery (1)
- Ordinal data (1)
- Outcome scales (1)
- Pathway analysis; Breast cancer prognosis; Regularized estimation. (1)
- Relationship Duration (1)
- Relationship Strength (1)
- Service Relationship (1)
- Trans-dimensional Markov chain Monte Carlo; Mixture models; Model selection; Model averaging; Smoothing splines (1)
- Wine marketing (1)
Articles 1 - 30 of 33
Full-Text Articles in Physical Sciences and Mathematics
Identification Of Cancer-Associated Gene Pathways From Analysis Of Expression Data, Shuangge Ma
Identification Of Cancer-Associated Gene Pathways From Analysis Of Expression Data, Shuangge Ma
Shuangge Ma
No abstract provided.
Lecture 5, Shuangge Ma
Final Project, Shuangge Ma
Lecture 4, Shuangge Ma
Lecture 4, Shuangge Ma
Computer Intensive Methods Lecture 13, Shuangge Ma
Final Project (Description), Shuangge Ma
Final Project (Data), Shuangge Ma
Lecture 3, Shuangge Ma
Lecture 2, Shuangge Ma
Reference: Multiple Imputation, Shuangge Ma
Reference: Weighted Bootstrap, Shuangge Ma
Computer Intensive Methods Lecture 9, Shuangge Ma
Computer Intensive Methods Lecture 8, Shuangge Ma
Reference: Counter Examples [Bootstrap], Shuangge Ma
Reference: Counter Examples [Bootstrap], Shuangge Ma
Shuangge Ma
No abstract provided.
Computer Intensive Methods Lecture 7 (Lab 2), Shuangge Ma
Computer Intensive Methods Lecture 7 (Lab 2), Shuangge Ma
Shuangge Ma
No abstract provided.
Computer Intensive Methods Lecture 6, Shuangge Ma
Reference: Block Jackknife, Shuangge Ma
Computer Intensive Methods Lecture 5, Shuangge Ma
Reading: Simulate Multivariate Distribution, Shuangge Ma
Reading: Simulate Multivariate Distribution, Shuangge Ma
Shuangge Ma
No abstract provided.
Computer Intensive Methods Lecture 4, Shuangge Ma
Computer Intensive Methods Lecture 3 (Lab 1), Shuangge Ma
Computer Intensive Methods Lecture 3 (Lab 1), Shuangge Ma
Shuangge Ma
No abstract provided.
Computer Intensive Methods Lecture 2, Shuangge Ma
A Hybrid Approach Based On Genetic Algorithms In Conjunction With Statistical Methods For The Diagnosis Of Breast Cancer, Brijesh Verma, Ping Zhang, Kuldeep Kumar
A Hybrid Approach Based On Genetic Algorithms In Conjunction With Statistical Methods For The Diagnosis Of Breast Cancer, Brijesh Verma, Ping Zhang, Kuldeep Kumar
Kuldeep Kumar
This chapter reviews and presents genetic algorithms and statistical methods based approach for early detection and classification of breast cancer using digital mammography. A feature selection using genetic algorithms and statistical methods have been combined and a hybrid system has been developed and tested on a benchmark database. A comparative analysis of the results is included in this chapter.
A Bayesian Approach To Ordinal Outcomes For Neurosurgical Clinical Research., Sally Wood
A Bayesian Approach To Ordinal Outcomes For Neurosurgical Clinical Research., Sally Wood
Sally Wood
The objective of this study is to demonstrate a Bayesian approach for the statistical analysis of neurosurgical data where the investigators have used an ordinal scale for the outcome. A Bayesian approach that uses data augmentation and Gibbs sampling to perform ordinal probit regression is demonstrated in a neurosurgical context. The statistical approach is applied to a regression analysis to examine the relationship between female gender and the outcome of severe traumatic brain injury measured with the Glascow Outcome Scale. The approach is applied to a hierarchical meta-analysis to examine the relationship between age and the outcome from subarachnoid haemorrhage …
Trans-Dimensional Metropolis-Hastings Using Parallel Chains, Sally Wood, James Pullen, Robert Kohn, David Leslie
Trans-Dimensional Metropolis-Hastings Using Parallel Chains, Sally Wood, James Pullen, Robert Kohn, David Leslie
Sally Wood
A general Bayesian sampling method is developed that uses parallel chains to select between models and to average the predictive density over such models. The method applies to both non-nested models and to nested models, and is particularly useful for mixtures of complex component models, where a novel approach to overcome the label-switching problem is used. The method is illustrated with real and simulated data in model-averaging over alternative financial time series models, mixtures of normal distributions, and mixtures of smoothing spline models.
Geometric Ergodicity Of Gibbs Samplers (University Of Minnesota), Alicia Johnson
Geometric Ergodicity Of Gibbs Samplers (University Of Minnesota), Alicia Johnson
Alicia A. Johnson
No abstract provided.
Mixture Of Random Effects For Individual Learning Curves, Sally Wood, Edward Cripps, Robert Wood
Mixture Of Random Effects For Individual Learning Curves, Sally Wood, Edward Cripps, Robert Wood
Sally Wood
In the pyschology literature individuals are often classified as entity theorists or incrementalists. In this paper we explore the different learning behaviours over time of these two groups. To assess learning an individual is assigned a task and their performance on the task is measured over a number of trials. Learning behaviour is modelled as a mixture of two random effects, where the random effects components of the mixture correspond to increased learning and spiralling behaviour. We find significant differences in the learning behaviours of the two groups. Specifically those individuals who are categorized as entity theorists are more likely …
Wine Purchase Decisions And Consumption Behaviors: Insights From A Probability Sample Drawn In Auckland, New Zealand, Peter Danaher
Wine Purchase Decisions And Consumption Behaviors: Insights From A Probability Sample Drawn In Auckland, New Zealand, Peter Danaher
Peter Danaher
No abstract provided.
How Often Versus How Long: The Interplay Of Contact Frequency And Relationship Duration In Customer Perceptions Of Service Relationship Strength, Peter Danaher, Tracey Dagger, Brian Gibbs
How Often Versus How Long: The Interplay Of Contact Frequency And Relationship Duration In Customer Perceptions Of Service Relationship Strength, Peter Danaher, Tracey Dagger, Brian Gibbs
Peter Danaher
This study investigates the effects of customer contact frequency and relationship duration on customer-reported relationship strength (CRRS). Although relationships are understood to develop through an incremental process of time and encounters, exactly how frequency and duration interactively influence CRRS is not known. We embed our analysis of these two relationship-quantity variables within a larger model that considers the effects of relationship-quality variables—commitment, trust and satisfaction—on CRRS. We additionally control for customer demographics and service type. Using a fully national sample of 591 service consumers, we find that both contact frequency and relationship duration have a positive effect on CRRS, and …