S. Sain

发表

Detecting change in UK extreme precipitation using results from the climateprediction.net BBC climate change experiment

H. Fowler, D. Cooley, S. Sain, 2010 .

Multivariate locally adaptive density estimation

S. Sain, 2002 .

Combining outputs from the North American Regional Climate Change Assessment Program by using a Bayesian hierarchical model

Noel A Cressie, Stephan R. Sain, Emily L. Kang, 2012 .

Bayesian functional ANOVA modeling using Gaussian process prior distributions

S. Sain, C. Kaufman, 2010 .

Multidimensional Density Estimation

D. W. Scott, S. Sain, 2005 .

Cross-Validation of Multivariate Densities

D. W. Scott, K. Baggerly, S. Sain, 1994 .

On Locally Adaptive Density Estimation

D. W. Scott, S. Sain, 1996 .

A multivariate spatial model for soil water profiles

D. Nychka, S. Sain, L. Mearns, 2006 .

Climate change projections of the North American Regional Climate Change Assessment Program (NARCCAP)

L. Leung, S. Sain, R. Arritt, 2013, Climatic Change.

A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets

D. Nychka, S. Sain, F. Lindgren, 2015 .

Tools for Spatial Data

Douglas W. Nychka, Stephan R. Sain, Reinhard Furrer, 2016 .

Adaptive kernel density estimation

S. Sain, 1994 .

Multivariate Bayesian analysis of atmosphere–ocean general circulation models

D. Nychka, G. Meehl, S. Sain, 2007, Environmental and Ecological Statistics.

Spatial patterns of probabilistic temperature change projections from a multivariate Bayesian analysis

D. Nychka, G. Meehl, S. Sain, 2007 .

A MIXTURE APPROACH FOR MULTIVARIATE REGRESSION TREES

Patrick S. Carmack, S. Sain, 2001 .

A new multivariate technique for top quark search

L. Holmström, S. Sain, H. Miettinen, 1995 .

Parameter tuning for a multi-fidelity dynamical model of the magnetosphere

Matthew J. Heaton, S. Sain, D. Bingham, 2013, 1303.6992.

The North American Regional Climate Change Assessment Program: Overview of Phase I Results

Richard A. L. Jones, R. Leung, S. Sain, 2012 .

Combining climate model output via model correlations

S. Sain, R. Furrer, 2010 .

The impact of extreme heat on morbidity in Milwaukee, Wisconsin

S. Sain, J. Patz, S. Kovats, 2012, Climatic Change.

Multivariate discrimination methods for top quark analysis

Stephan R. Sain, Lasse Holmström, L. Holmström, 1997 .

Functional ANOVA and regional climate experiments: a statistical analysis of dynamic downscaling

Stephan R. Sain, Linda O. Mearns, Doug Nychka, 2011 .

An investigation of the pineapple express phenomenon via bivariate extreme value theory

Grant B. Weller, D. Cooley, S. Sain, 2012 .

Multivariate Spatial Analysis of Climate Change Projections

S. Sain, T. Greasby, 2011 .

Spatial Hierarchical Modeling of Precipitation Extremes From a Regional Climate Model

Stephan R. Sain, Daniel Cooley, D. Cooley, 2008 .

Characterizing urban vulnerability to heat stress using a spatially varying coefficient model.

Matthew J. Heaton, Olga V. Wilhelmi, S. Sain, 2014, Spatial and spatio-temporal epidemiology.

Modeling sea‐level processes on the U.S. Atlantic Coast

C. Tebaldi, S. Sain, H. Lopes, 2019, Environmetrics.

A Spatio-Temporal Model for Mountain Pine Beetle Damage

S. Sain, M. Heaton, K. Kaufeld, 2014 .

An Analysis of an Incomplete Marked Point Pattern of Heat-Related 911 Calls

Matthew J. Heaton, Olga V. Wilhelmi, S. Sain, 2015 .

Hierarchical Modeling of Variability in Regional Climate Models Using Markov Random Fields

S. Sain, C. Kaufman, 2011 .

Spatial multinomial regression models for nominal categorical data: a study of land cover in Northern Wisconsin, USA

S. Sain, M. Steen-Adams, Jun Zhu, 2013 .

Stochastic tropical cyclone precipitation field generation

S. Sain, P. Harr, W. Kleiber, 2020, Environmetrics.

A Comprehensive Approach To Outlier Detection and Event Classification.

H. L. Gray, S. Sain, W. Woodward, 1996 .

Theory & Methods: A New Characterization and Estimation of the Zero–bias Bandwidth

S. Sain, 2003 .

EnvironmentalCharacteristicsAssociatedWith Pedestrian-MotorVehicleCollisionsinDenver,Colorado

S. Sain, A. Kuhlmann, J. Brett, 2009 .

Emulating and calibrating the multiple‐fidelity Lyon–Fedder–Mobarry magnetosphere–ionosphere coupled computer model

Stephan R. Sain, Matthew J. Heaton, William Kleiber, 2015 .

A Word from our 2006 Section Chairs

S. Sain, P. Murrell, 2006 .

Influences of climatic and population changes on heat-related mortality in Houston, Texas, USA

Matthew J. Heaton, Olga V. Wilhelmi, S. Sain, 2018, Climatic Change.

Confidence Regions for Spatial Excursion Sets From Repeated Random Field Observations, With an Application to Climate

S. Sain, Max Sommerfeld, A. Schwartzman, 2018, Journal of the American Statistical Association.

Data science and climate risk analytics

S. Sain, 2022, Environmetrics.

The 2013 Technometrics Prizes

S. Sain, C. Nachtsheim, M. Pratola, 2014 .

Model Calibration via Deformation

Stephan R. Sain, William Kleiber, Michael J. Wiltberger, 2014, SIAM/ASA J. Uncertain. Quantification.

A spatial analysis of multivariate output from regional climate models

Stephan R. Sain, Noel Cressie, Reinhard Furrer, 2011, 1104.2703.

A comparison study of extreme precipitation from six different regional climate models via spatial hierarchical modeling

Stephan R. Sain, Daniel Cooley, Jennifer A. Hoeting, 2010 .

Assessing variance components of general circulation model output fields

Stephan R. Sain, Reinhard Furrer, Steven Geinitz, 2012 .

Two case studies on NARCCAP precipitation extremes

Grant B. Weller, D. Cooley, S. Sain, 2013 .

Testing for outliers from a mixture distribution when some data are missing

Stephan R. Sain, Wayne A. Woodward, S. Sain, 2003, Comput. Stat. Data Anal..

Scale space multiresolution analysis of random signals

Stephan R. Sain, Lasse Holmström, Leena Pasanen, 2011, Comput. Stat. Data Anal..

SPECTRUM OF GENOTYPE AND CLINICAL MANIFESTATIONS IN CEREBRAL CAVERNOUS MALFORMATIONS

S. Sain, J. Gault, I. Awad, 2006, Neurosurgery.

Outlier detection from a mixture distribution when training data are unlabeled

Stephan R. Sain, H. L. Gray, Wayne A. Woodward, 1999, Bulletin of the Seismological Society of America.

Spatial model fitting for large datasets with applications to climate and microarray problems

Stephan R. Sain, Reinhard Furrer, S. Sain, 2009, Stat. Comput..

Multi-dimensional Density Estimation

Stephan R. Sain, David W. Scott, D. W. Scott, 2004 .

Multivariate Visualization by Density Estimation

Stephan R. Sain, David W. Scott, D. W. Scott, 2008 .

Meta‐analysis by combining p‐values: Simulated linkage studies

D R Goldstein, S R Sain, R Guerra, 1999, Genetic epidemiology.

Meta‐analysis by combining parameter estimates: Simulated linkage studies

D R Goldstein, S R Sain, R Guerra, 1999, Genetic epidemiology.

Theory & Methods: A New Characterization and Estimation of the Zero–bias Bandwidth

S. Sain, 2003 .

Zero‐Bias Locally Adaptive Density Estimators

Stephan R. Sain, David W. Scott, D. W. Scott, 2002 .

Latent Variable Modeling for Integrating Output from Multiple Climate Models

William F. Christensen, Stephan R. Sain, S. Sain, 2012, Mathematical Geosciences.

Modeling Uncertainty in Climate Using Ensembles of Regional and Global Climate Models and Multiple Observation-Based Data Sets

Stephan R. Sain, Matthew J. Heaton, Tamara A. Greasby, 2012, SIAM/ASA J. Uncertain. Quantification.

Combining Ensembles of Regional Climate Model Output via a Multivariate Markov Random Field Model

N. Cressie, S. Sain, R. Furrer, 2008 .

Adaptive Capacity to Extreme Heat: Results from a Household Survey in Houston, Texas

Stephan R. Sain, Olga V. Wilhelmi, Mary H. Hayden, 2017 .

Evaluating the impacts of climate change on diurnal wind power cycles using multiple regional climate models

Stephan R. Sain, Marc G. Genton, Amanda S. Hering, 2015 .

Spatio-temporal exceedance locations and confidence regions

Stephan R. Sain, Joshua P. French, S. Sain, 2013, 1311.7257.

A New Test for Outlier Detection from a Multivariate Mixture Distribution

Stephan R. Sain, Henry L. Gray, Suojin Wang, 1997 .

Statistical Frameworks for Seismic Discrimination

C. J. Young, D. N. Anderson, K. K. Anderson, 1995 .

Feature‐based validation of the Lyon‐Fedder‐Mobarry magnetohydrodynamical model

Stephan R. Sain, William Kleiber, Michael Wiltberger, 2016 .

Accounting for Dependence in a Flexible Multivariate Receptor Model

William F. Christensen, Stephan R. Sain, S. Sain, 2002, Technometrics.

spam: A Sparse Matrix R Package with Emphasis on MCMC Methods for Gaussian Markov Random Fields

Stephan R. Sain, Reinhard Furrer, S. Sain, 2010 .

Explorer A Multi-resolution Gaussian process model for the analysis of large spatial data sets

Dorit Hammerling, Finn Lindgren, Soutir Bandyopadhyay, 2012 .

Bayesian modelling and ensemble reconstruction of mid‐scale spatial variability in North Atlantic sea‐surface temperatures for 1850–2008

S. Sain, A. Kaplan, A. Karspeck, 2012 .

Reduced Basis Kriging for Big Spatial Fields

Ranjan Maitra, Karl T. Pazdernik, Douglas Nychka, 2018, Sankhya A.

Environmental characteristics associated with pedestrian-motor vehicle collisions in Denver, Colorado.

S. Sain, A. S. Sebert Kuhlmann, Anne K Sebert Kuhlmann, 2009, American journal of public health.

A Multiresolution Approach to Estimating the Value Added by Regional Climate Models

Stephan R. Sain, Brian J. Reich, Ryan J. Parker, 2015 .

Downscaling extremes: A comparison of extreme value distributions in point-source and gridded precipitation data

Stephan R. Sain, Linda O. Mearns, Daniel Cooley, 2010, 1010.1604.

Extreme Precipitation: An Application Modeling N-Year Return Levels at the Station Level

Richard L. Smith, D. Nychka, D. Cooley, 2006 .

Emulating mean patterns and variability of temperature across and within scenarios in anthropogenic climate change experiments

Claudia Tebaldi, Doug Nychka, D. Nychka, 2018, Climatic Change.

A comparison of U.S. precipitation extremes under RCP8.5 and RCP4.5 with an application of pattern scaling

C. Tebaldi, D. Cooley, S. Sain, 2018, Climatic Change.

Fast parameter estimation of Generalized Extreme Value distribution using Neural Networks

S. Lahiri, D. Nychka, S. Sain, 2023, arXiv.org.

MMANOVA: A general multilevel framework for multivariate analysis of variance

S. Sain, R. Furrer, Steven Geinitz, 2012, 1207.2338.

BIAS REDUCTION AND ELIMINATION WITH KERNEL ESTIMATORS

Stephan R. Sain, S. Sain, 2001 .

On Detecting Outliers in Mixed Populations

H. L. Gray, S. Sain, W. Woodward, 1996 .

Multiresolution Kriging Based on Markov Random Fields

Douglas W. Nychka, Dorit Hammerling, Stephan R. Sain, 2015 .