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Regularization methods for high-dimensional instrumental variables regression with an application to genetical genomics
Causal inference Confounding Endogeneity Sparse regression
2016/1/25
In genetical genomics studies, it is important to jointly analyze gene expression data and genetic variants in exploring their associations with complex traits, where the dimensionality of gene expres...
Regularization methods for high-dimensional instrumental variables regression with an application to genetical genomics
Causal inference Confounding Endogeneity Sparse regression
2016/1/20
In genetical genomics studies, it is important to jointly analyze gene expression data and genetic variants in exploring their associations with complex traits, where the dimensionality of gene expres...
Historical variables of seismic effects: economic levels, demographic scales and building techniques
Historical demography economic levels building techniques macroseismic intensity
2015/9/30
During the analysis of the historical seismicity of Italy, territorial and social elements emerged that in the long term have strongly influenced the effects of the earthquakes. These elements are her...
EXPLORING THE MEAN ANNUAL PRECIPITATION AND TEMPERATURE VALUES OVER TURKEY BY USING ENVIRONMENTAL VARIABLES
Precipitation Temperature Spatial Analysis Exploration
2015/9/28
Global warming and climate change that threat seriously population living as well as agriculture, environment, economy, and industry are
very important topics for all over the world. Therefore effic...
The chapter discusses generalized method of moments (GMM) estimation
methods for spatial models. Much of the discussion is on GMM estimation of
Cliff-Ord-type models where spatial interactions are m...
EXTENSIONS OF RESPONDENT-DRIVEN SAMPLING: ANALYZING CONTINUOUS VARIABLES AND CONTROLLING FOR DIFFERENTIAL RECRUITMENT
RESPONDENT-DRIVEN SAMPLING DIFFERENTIAL RECRUITMENT
2015/9/11
Respondent-driven sampling (RDS) is a network-based method
for sampling hidden and hard-to-reach populations that has been
shown to produce asymptotically unbiased population estimates
when its ass...
Singular Hopf Bifurcation in Systems with Two Slow Variables
Hopf bifurcation mixed mode oscillation singular perturbation
2015/8/25
Hopf bifurcations have been studied intensively in two dimensional vector fields with one slow
and one fast variable [′E. Benoˆıt et al., Collect. Math., 31 (1981), pp. 37–119; F. Dumortier...
A FUNCTIONAL HUNGARIAN CONSTRUCTION FOR SUMS OF INDEPENDENT RANDOM VARIABLES
Komlos-Major–Tusnády inequality Partial sum process Non-identically distributed variables Function classes Asymptotic equivalence of statistical experiments
2015/8/25
We develop a Hungarian construction for the partial sum process of independent non-identically distributed random variables. The process is indexed by functions f from a class H, but the supremum over...
Estimating Random Variables from Random Sparse Observations
Discrete random variable random function decoupling principle
2015/8/21
Let X1, . . . ,Xn be a collection of iid discrete random variables, and Y1, . . . , Ym a set of noisy observations of such variables. Assume each observation Ya to be a random function of some a rando...
Multiple hypothesis testing, adjusting for latent variables
latent variables hypothesis testing
2015/8/21
In high throughput settings we inspect a great many candidate variables (e.g. genes) searching for associations with a primary variable (e.g.
a phenotype). High throughput hypothesis testing can be m...
Supercharacters, symmetric functions in noncommuting variables, and related Hopf algebras
noncommuting variables related Hopf algebras
2015/8/14
We identify two seemingly disparate structures: supercharacters, a useful way of doing
Fourier analysis on the group of unipotent uppertriangular matrices with coefficients in a finite
field, and th...
THE SUBGROUP ALGORITHM FOR GENERATING UNIFORM RANDOM VARIABLES
Subgroup algorithm to generate unified random variable
2015/7/14
THE SUBGROUP ALGORITHM FOR GENERATING UNIFORM RANDOM VARIABLES.
Supercharacters, symmetric functions in noncommuting variables, and related Hopf algebras
The coefficient matrix and symmetric function hopf algebra
2015/7/7
We identify two seemingly disparate structures: supercharacters, a useful way of doing Fourier analysis on the group of unipotent uppertriangular matrices with coefficients in a fi-nite ...
EXCHANGEABLE PAIRS OF BERNOULLI RANDOM VARIABLES, KRAWTCHOUCK POLYNOMIALS, AND EHRENFEST URNS
Interchangeable Bernoulli random variable KRAWTCHOUCK polynomials Ellen urn
2015/7/7
EXCHANGEABLE PAIRS OF BERNOULLI RANDOM VARIABLES, KRAWTCHOUCK POLYNOMIALS, AND EHRENFEST URNS。
Sparse Covariance Estimation When Variables are Ordered
Sparse Covariance Estimation Variables Ordered
2015/3/20
Sparse Covariance Estimation When Variables are Ordered.