- In lling Sparse Records of Precipitation Fields Douglas Nychka and Craig Johns
- This is page 51 Printer: Opaque this
- Douglas W. Nychka National Center for Atmospheric Research
- Climate Past, Climate Present, Climate Future Douglas Nychka,
- Combining climate model experiments Claudia Tebaldi, Doug Nychka
- Spatial Process Estimates UBC Lecture 2
- The R environment for statistical computing and Douglas Nychka,
- Beyond the hockey stick: indirect methods of paleoclimate
- Data Mining in the Atmospheric Sciences Douglas Nychka, Sarah Streett, Linda Mearns
- Climate Past, Present, and Our Future
- Parameter Estimation for Climate models Dorin Drignei and Doug Nychka (NCAR)
- Mathematical Science of Understanding and Predicting Regional Climate: A School and Workshop Programming in R: Handout 1
- Measuring air quality standards and spatial designs Douglas Nychka and Eric Gilleland
- Design Interface: Interactive tools for editing and evaluating spatial designs.
- Multiresolution models for nonstationary spatial covariance Douglas Nychka 1
- Supplementary material to the paper "Nonstationary covariance modeling for incomplete data : Monte Carlo EM
- The Value of Multi-proxy Reconstruction of Past , Douglas W. Nychka2
- Data Assimilation Douglas W. Nychka and Jeffrey L. Anderson
- Douglas W. Nychka National Center for Atmospheric Research
- Wendland meets Markov: Kriging for large spatial data sets using
- Regional climate models, spatial data and extremes
- Spatial statistics, black diamonds and the fields Douglas Nychka,
- The uncertain hockey stick: a statistical reconstruction of past stempera-
- Communicating Uncertainty: The phantom hockey stick
- D. Nychka Three reproducing kernels Asymptotic properties of Kriging
- Robust splines and robust wavelets Douglas Nychka,
- DRAFT --Fieldguide CHAPTER 2 --DRAFT 1 Fieldguide CHAPTER 2
- fieldguide (draft) CHAPTER 3 1 Introduction
- Smoothing, penalized least squares and splines Douglas Nychka,
- Inference for spatial fields Douglas Nychka,
- Robust splines and wavelets Douglas Nychka,
- Combining Multimodel Numerical Experiments for Climate Change
- Probabilities for climate projections Claudia Tebaldi, Reinhard Furrer
- Kriging, the ensemble filter and Groundhog Day Douglas Nychka
- NonGaussian filters Douglas Nychka
- Discussion to the Stein IMS Invited Lecture Doug Nychka
- Modern regression and Mortality Doug Nychka
- Robust Data Assimilation Douglas Nychka, Jeff Anderson, Chris Snyder
- An introduction and case study using Douglas Nychka, Eric Gilleland, Uli Schnieder
- Discussion to Likelihood Basis Pursuit Douglas Nychka Geophysical Statistics Project
- Models for models Douglas Nychka Geophysical Statistics Project
- Weather generators for studying climate change Douglas Nychka, Sarah Streett
- Infilling Sparse Records of Spatial Fields Craig J. Johns Douglas Nychka Timothy G.F. Kittel Chris Daly
- Mathematical Science of Understanding and Predicting Regional Climate: A School and Workshop Programming in R: Handout 2
- Parameter estimation for computationally intensive nonlinear regression with an application to climate
- Climate Past, Climate Present, Climate Future
- Assessing the impact on Agriculture from Climate Douglas Nychka, Sarah Streett and Linda Mearns
- Forecasting and data assimilation Douglas Nychka, Thomas Bengtsson, Chris Snyder
- Uncertainty in Climate Predictions Douglas Nychka,1National Center for Atmospheric Research (NCAR),
- Statistics, Numerical Models and Ensembles Douglas Nychka,
- Multivariate Bayesian Analysis of AtmosphereOcean General Circulation Models
- Smoothing data and splines UBC Lecture 1
- The World of Large Spatial Data Douglas Nychka,
- Prologue: A statisticians view of the carbon Douglas Nychka,
- Precipitaton Extremes and Climate Douglas Nychka
- Statistical tools for estimating regional climate Cari Kaufman, Stephen Sain,
- Spatial Process Estimates as Smoothers Douglas W. Nychka
- Bayesian Spatial Modeling of Extreme Precipitation Return Levels Daniel Cooley1,2
- DRAFT --Fieldguide CHAPTER 1 --DRAFT 1 Fieldguide CHAPTER 1
- Covariance Tapering for Likelihood Based Estimation in Large Spatial Datasets
- Submitted to the Annals of Applied Statistics INTERPOLATING FIELDS OF CARBON MONOXIDE
- The uncertain hockey stick Douglas Nychka
- Supplementary material to the paper "Nonstationary covariance modeling for incomplete data : Monte Carlo EM
- Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multi-model
- Ensemble Kalman Filter: The Movie Douglas Nychka,
- What can statistics tell us about the uncertainty of past climate?
- Large, nonstationary spatial fields Douglas Nychka, Andy Royle and Chris Wikle
- SAMSI Computer Models Program and the IMAGe Theme-of-the-Year
- A framework to understand the asymptotic properties of Kriging and splines
- Statistical analysis of regional climate models.
- An introduction and case study using Douglas Nychka, Eric Gilleland, Uli Schnieder
- Regional climate models, spatial data and extremes
- Boulder guide to statistics Doug Nychka
- Precipitation extremes Douglas Nychka,
- A framework to understand the asymptotic properties of Kriging and splines
- Where are Statisticians in the Earth System? Douglas Nychka
- The Matrix Reloaded: Computations for large spatial data sets
- A Multiresolution approach to nonstationary and efficient Tomoko Matsuo and Douglas Nychka
- Wendland meets Markov: Kriging for large spatial data sets using
- Regional Climate Design and Analysis of Computer
