搜索结果: 1-15 共查到“统计学 decision”相关记录15条 . 查询时间(0.124 秒)
Alternating Decision trees for early diagnosis of dengue fever
Alternating Decision trees early diagnosis dengue fever
2013/6/17
Dengue fever is a flu-like illness spread by the bite of an infected mosquito which is fast emerging as a major health problem. Timely and cost effective diagnosis using clinical and laboratory featur...
Reducing decision errors in the paired comparison of the diagnostic accuracy of screening tests with Gaussian outcomes
cancer screening differential verification bias area under the curve type I error power paired screening trial receiver operating characteristic analysis
2013/6/14
Scientists often use a paired comparison of the areas under the receiver operating characteristic curves to decide which continuous cancer screening test has the best diagnostic accuracy. In the paire...
Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference
Generalized Thompson Sampling Sequential Decision-Making Causal Inference
2013/5/2
Recently, it has been shown how sampling actions from the predictive distribution over the optimal action-sometimes called Thompson sampling-can be applied to solve sequential adaptive control problem...
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Online Learning Markov Decision Processes Adversarially Chosen Transition Probability Distributions
2013/5/2
We study the problem of learning Markov decision processes with finite state and action spaces when the transition probability distributions and loss functions are chosen adversarially and are allowed...
Top-down particle filtering for Bayesian decision trees
Top-down particle filtering Bayesian decision trees
2013/4/27
Decision tree learning is a popular approach for classification and regression in machine learning and statistics, and Bayesian formulations---which introduce a prior distribution over decision trees,...
Experimental design for Partially Observed Markov Decision Processes
Experimental design Partially Observed Markov Decision Processes
2012/11/22
This paper deals with the question of how to most effectively conduct experiments in Partially Observed Markov Decision Processes so as to provide data that is most informative about a parameter of in...
Identifying subtree perfectness in decision trees
Choice function subtree perfectness backward induction sequential decision tree consequentialist maximality maximin E-admissibility imprecise probability imprecise utility.
2012/9/17
In decision problems, often, utilities and probabilities are hard to determine. In such cases, one can resort to so-called choice functions. They provide a means to determine which options in a partic...
Decision Based Uncertainty Propagation Using Adaptive Gaussian Mixtures
Adaptive Gaussian Sum Decision Making
2011/7/19
Given a decision process based on the approximate probability density function returned by a data assimilation algorithm, an interaction level between the decision making level and the data assimilati...
Compound decision in the presence of proxies with an application to spatio-temporal data
Statistics Theory (math.ST) Methodology (stat.ME)
2010/12/17
We study the problem of incorporating covariates in a compound decision setup. It is desired to estimate the means of $n$ response variables, which are independent and normally distributed, and each i...
Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview
Observational study Potential response Sequential decision theory
2010/10/19
We consider the problem of learning about and comparing the consequences of dynamic treatment strategies on the basis of observational data. We formulate this within a probabilistic decision-theoreti...
Theoretical Justification of Decision Rules for the Number of Factors: Principal Component Analysis as a Substitute for Factor Analysis in One-Factor Cases
cubic equation greater-than-one rule number of factors principal component analysis representation of a polynomial in terms of a remainder sequence scree test
2009/3/5
Applying principal component analysis as a substitute for factor analysis, we often adopt the following greater-than-one rule to decide the number of factors, k: Take the number of eigenvalues of the ...
Multiple Decision Problem on Signs of Mean Vector in Three-Variate Normal Case
likelihood ratio test multiple decision procedure testing procedure three-variate normal distribution
2009/3/5
Testing procedures can be considered decision procedures, and there exists the problem of how to deal with observed values of test statistics which fall in a neighborhood of the critical values. On th...
State-space based mass event-history model I：many decision-making agents with one target
Extremists Heterogeneity Interval censoring Logistic regression Maximum likelihood estimation Nematode
2010/3/17
A dynamic decision-making system that includes a mass of indistinguishable
agents could manifest impressive heterogeneity. This
kind of nonhomogeneity is postulated to result from macroscopic behavi...
Aggregation functions are generally defined and used to combine several numerical
values into a single one, so that the final result of the aggregation takes into account
all the individual values i...
Decision Approach and Empirical Bayes FCR-Controlling Interval for Mixed Prior Model
Decision Bayes Loss Function Simultaneous Intervals
2010/3/17
In this paper, I apply the decision theory and empirical Bayesian
approach to construct confidence intervals for selected populations when
true parameters follow a mixture prior distribution. A loss...