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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Probabilistic HIV Recency Classification -- A Logistic Regression without Labeled Individual Level Training Data
概率 HIV新近度分类 个人水平训练数据 逻辑回归
2023/4/24
Accurate HIV incidence estimation based on individual recent infection status (recent vs long-term infection) is important for monitoring the epidemic, targeting interventions to those at greatest ris...
Penalized Logistic Regression for Detecting Gene Interactions
Penalized Logistic Regression Detecting Gene Interactions
2015/8/21
We propose using a variant of logistic regression with L2 regularization to fit genegene and gene-environment interaction models. Studies have shown that many common diseases are influenced by interac...
Genomewide Association Analysis by Lasso Penalized Logistic Regression
Genomewide Association Analysis Lasso Penalized Logistic Regression
2015/8/21
In ordinary regression, imposition of a lasso penalty makes continuous model selection straightforward. Lasso penalized regression is particularly advantageous when the number of predictors far exceed...
Let Y be a binary random variable and X a scalar. Let ^ be the
maximum likelihood estimate of the slope in a logistic regression of Y on
X with intercept. Further let x0 and x1 be the average of ...
Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing
Flood susceptibility analysis logistic regression model
2015/8/14
Recently, in the year 2006, 2007 and 2008 heavy monsoons rainfall have triggered floods along Malaysia's east coast as well as in different parts of the country. The hardest hit areas are along the ea...
Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing
Flood susceptibility analysis logistic regression model Geographic Information System GIS Remote Sensing
2015/1/8
Recently, in the year 2006, 2007 and 2008 heavy monsoons rainfall have triggered floods along Malaysia's east coast as well as in different parts of the country. The hardest hit areas are along the ea...
Estimating Player Contribution in Hockey with Regularized Logistic Regression
Logistic Regression Regularization Lasso Bayesian Shrinkage Sports Analytics
2012/11/23
We present a regularized logistic regression model for evaluating player contributions in hockey. The traditional metric for this purpose is the plus-minus statistic, which allocates a single unit of ...
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors
Group descent algorithms nonconvex penalized linear model logistic regression model grouped predictors
2012/11/22
Penalized regression is an attractive framework for variable selection problems. Often, variables possess a grouping structure, and the relevant selection problem is that of selecting groups, not indi...