Near-native protein loop sampling using nonparametric density estimation accommodating sparcity. [PDF]
PLoS Comput Biol, 2011 Unlike the core structural elements of a protein like regular secondary structure, template based modeling (TBM) has difficulty with loop regions due to their variability in sequence and structure as well as the sparse sampling from a limited number of ...
Joo H +7 more
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Geometric Sensitivity Measures for Bayesian Nonparametric Density Estimation Models. [PDF]
Sankhya Ser A, 2019 Saha A, Kurtek S.
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Inference for Deep Neural Network Estimators in Generalized Nonparametric Models. [PDF]
J Am Stat AssocMeng X, Li Y.
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Inference on function-valued parameters using a restricted score test. [PDF]
J R Stat Soc Series B Stat MethodolHudson A, Carone M, Shojaie A.
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Interpretable Sensor Change Detection via Conditional Cauchy-Schwarz Divergence. [PDF]
Sensors (Basel)Wang W, Shen Y, Ni Y, Wu W.
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A general framework for adaptive nonparametric dimensionality reduction. [PDF]
Sci RepDi Noia A, Ravenda F, Mira A.
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SPARCC: Semi-Parametric Robust Estimation in a Right-Censored Covariate Model. [PDF]
J Am Stat AssocLee SH +4 more
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A two-stage GAN-based instrumental variable method for causal analysis of omics data. [PDF]
Brief BioinformZhou Y +7 more
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A novel approach to the clustering of microarray data via nonparametric density estimation. [PDF]
BMC Bioinformatics, 2011 De Bin R, Risso D.
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Toward Causal Inferences in Discipline-Based Education Research: Using Regression Discontinuity Design to Understand the Effect of Classroom Interventions. [PDF]
CBE Life Sci EducXu S, Theobald EJ.
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