Information

• Course Outline / Syllabus

• Prerequisite - topics covered in CVEN5454

• Elements of Statistical Learning
• An Introduction to Statistical Learning (with R)
• Helsel's online book
  

• Simple Linear Regression
• Multiple Regression
• Prof. Lall's Regression Notes

• GLM Fitting Presentation - From Online

• Linear Models
• Maximum Likelihood Estimation
  
• GLM Theory Notes
• Logit Models
• Multinomial Regression
  
• Poisson Models
• GLM - with Gamma Distributed Variables

• Multivariate Statistical Modelling Based on
• Generalized Linear Models - Fahrmeir and Tutz
  

• Local Methods - rationale / basics
  
• Lecture Notes (John Fox)
  
• Smoothing tutorial - Loader
  
• Local Regression and Likelihood
• Loader - Chaps 2&3
• Loader - Chaps 4&5
• LOCFIT
• Loader Book Online - Springer
  

• PDF
• MI
• Multivariate PDF
• Smooth bootstrap

• Dr. Doug Nychka-NCAR (CU Spatial Stats)
• Dr. Nychka's page - lots of things
• Prof. Chris Funk - Spatial Modeling Lectures
• Applied Spatial Data Analysis with R - Springer

Smoothing/Clustering/Trees/Data Mining

• Elements of Statistical Learning
• An Introduction to Statistical Learning (with R)
• Lecture Slides/Videos - Hastie and Tibshirani

Self Organizing Maps (SOMs)

• Self Organizing Maps (SOM) - Chapter 14 of
  
• Elements of Statistical Learning
• Kistawal et al. (2013, WRR)
• Sean Horvath Lecture
• Sean SOM Example-data-code
  

Cluster Analysis (Dr. McCreight)

• Lecture 1
  
• Lecture 2
• James' Packages
  
• Elements of Statistical Learning
• Chapter 14/14.3 - Cluster Anal
  
• Chapter 9/9.2 - CART
  
• CART - Notes - R
• Extremes Clustering R - Bracken et al. (2015)
  

• Chapter 6 Wilks book
• EOF-vonStorch-Chap13
• CCA-vonStorch-Chap14

Time Series Analysis

• Basics
  
• ARMA Models
• Parameter Estimation
• ARMA-n-Seasonal - Bras-Chap2
• Multivariate Time Series
• Parametric

Hidden Markov Models

• Hidden Markov Models for Time Series - CRC
• Billy's Github resource
• Cameron's resource
  

Bayesian Modeling - BDLM & Hierarchical
Bayes resources - notes, presentations, etc.

Extreme Value Distribution Resources

• Extremes Book by Stuart Coles
  
• ASP Summer-2011 Workshop (Under Activities)
  
• Katz EVA Tutorials #1 and #2 (bottom)
• Eric Gilleland Tutorials #2 and #3
  
• R-tutorial for GEV and GPD
  
• NCAR ExtremeValues resource page
• extRemes Tool Kit/Tutorial
• fExtremes package help
  
• Rick Katz's Lecture Notes
• Lecture 1
• Lecture 2
• Extreme Value PDFs as Derived PDFs
• Peter Van Dussen Lecture
  • Peter NGEV-HMM-Example-data-code

Copula

• Dr. Linyin Chenge's Lecture
• Joy of Copula
• R-package Copula
• Multivariate Changepoint
• Conditional Modeling - Liu etal, JGR 2015
  

Bayesian Dynamical Regression BDLM

• Dynamic Linear Models with R
  

Singular Spectrum Analysis

• Review paper (Ghil et al., 2001)
• SSA-toolkit
• K-spectra for Mac OS X

Spectral Analysis

• Fourier Representation - Wei Chap10
• Spectrum - Wei Chap 12
• Tarboton Presentation
• Wavelets - Ken's Presentation
• Torrence & Compo

• R project
• R Studio
• Datacamp
  
  • R-resources
• Very Good R-tutorial - Thomas Jagger
  
  • Hurricane Count Data in the tutorial
  • Hurricane Data and Refs Page
    
•  Practitioner's Guide Using R
• Catherine Dressler Report

• R-tutorial documents
• R for Data Science

• Spatial Data Visualization
  
• Springer R-books

• Homework #1 (9/5 -10/9, 2018)
• Homework #2 (10/12 -10/13, 2018)
• Codes/Commands
  
• Construction Safety data & commands
• Western US seasonal Max Precip
• Homework #3 (11/23 -12/18, 2018)
• Data/Codes/Commands

• Simple Linear Regression
• R-tutorial on simple linear regression
  
• R Commands
  
• Multiple Linear Regression
• R-tutorial on Multiple Linear Regression
  
• R commands
  
• Model Diagnostics
  
• Confidence and Prediction Interval
• Nonparametric confidence intervals
  
• Logistic Regression

•  1 and 2 variable data sets
• Fit a best local polynomial model (using GCV)
• Perform model diagnostics
• Estimate the function at several locations
• Plot/Map the estimates and error variance

R-JAGS Manual

•  Spatial Bayesian Hierarchical Modeling
• Code/commands for results in Verdin et al. (2015)
  
• STAN examples
• spBayes - R Package

R-Session - Multivariate Methods 

•  PCA
• SVD
• CCA
• Multivariate Forecasting
• SST and PDSI data (examples)

R-Session - Time Series Simulation/Projection

• Parametric ARMA
  
• Parametric Seasonal AR
• Nonparametric AR
• Nonparametric seasonal AR
• Hidden Markov Model
  
• Markov Chain + Resampling
• Spectral Analysis
  
• Mutual Information (MI)

Nonparametric Time Series Modeling

• K-nn resampling (streamflow)
  
• Lall and Sharma (1996)
• Modification to reproduce interannual dependency
• Sharma and O'Neill (2002)
  

• Multivariate simulation
• Nonparametric Disaggregation (Nowak et al., 2010)
  
• Multivariate K-nn resampling (weather generator)
  
• Rajagopalan and Lall (1999)
• Yates et al. (2003)
• Gangopadhyay et al. (2005)
• Apipattanavis et al. (2007) - Markov Chain + K-nn resampling
• Gangopadhyay et al. (2009) - Flow reconstruction

• Spatial Data Filling/Simulation - Water Quality Application Towler et al. (2009)

• Modified K-NN (Local Polynomial + residual resampling)
• Prairie et al. (2005)
• Markov Chain + Resampling (tree ring/streamflow)
  
• Prairie et al. (2008)
• Mutual Information
• Moon et al. (1995)
• Wavelet Based Simulation (WARM)
  
• Kwon et al. (2007)
  
• Nowak et al. (2011, J.Hydrology)
• Erkyihun et al. (2016, Water Res. Research)
• Hidden Markov + WARM
• Kwon et al. (2008)
• Extreme Value Analysis (GEV+Cov)
  
• Towler et al. (2010)
• Hidden Markov Modeling & Simulation
  
• Bracken et al. (2014)
• Erkyihun et al. (2017, ASCE, JHE)
• Suchetana et al. (2018, STOTEN)
• Bayesian Dynamical Regression BDLM
• Kenigson et al. (2018, JClimate)
• Krishnaswamy et al (2015)- Monsoon-ENSO-IOD
• Supplemental
• Yanto et al. (2016, Climate Dynamics)
  

•  Seasonal Streamflow Forecast      
  
• Grantz et al. (2005)
• Bracken et al., (2010)
  
• Streamflow Simulation
• Prairie et al. (2005)
• Review paper on forecasting and Simulation
• Rajagopalan et al. (2005)
  
• Water Quality Modeling (Local GLM)
  
• Towler et al., 2010 (Local Logistic)
  
• Towler et al., 2009 (Local Poly)
• Towler et al., 2013 (Local Poisson)
• Samson et al., 2016 (Local Gamma)
  

• May-Ostendorp et al. (2011) - Building Energy
• Esmaeili et al. (2015) - Construction Safety
• Kohler et al. 2016 (Weibull GLM)
• Weirich et al. 2015 (Gamma GLM + Markov)
• Weirich et al. 2011 (GLM - Gamma + Logistic)
  

• Krishnaswamy et al (2015)- Monsoon-ENSO-IOD
• Supplemental

Hierarchical Modeling - Kriging

• Kriging, Local Polynomial for Blending
• Verdin et al. (2016)
  
• Bayesian - Satellite + Observed Precip Blending
• Verdin et al. (2015)
• Spatial Hierarchical - Waste Water Treatment
• Suchetana et al. (2016)
• Bayesian - Spatial Extremes
• Bracken et al. (2016)
• Stochastic Precipitation, Temp & Weather Gen
• Weather Gen - Verdin et al. 2014
• Spatial Precip Generator - Kleiber et al. 2012
• Spatial Temp. Generator - Kleiber et al. 2013
  

• Predictive Modeling for SMART building
  
• May-Ostendorp et al. (2012)
• CART-Waste Water Treatment
• Suchetana et al. (2017 - STOTEN)
  
• Machine Learning for Construction Safety
• Tixier et al. (2016)
  

• Extremes Clustering
  
• Bracken et al. (2015)
• Bernard et al. (2013)
• SOM
• Kishtawal et al. (2013)

Multivariate Modeling and Forecasting

• Multisite time series ensemble forecasting
  
• PCA + Local Polynomial - multi-model ensemble
• forecast Regonda et al. (2006a)
• May-Ostendorp et al. (2012)
• Objective Multi-model selection (Mendoza et al. 2014)
• Multi-model combination (Mendoza et al. 2015)
  
• Index gauge forecast + disaggregation
• Bracken et al. (2010)
  
• PCA, ICA + regression
• Westra et al. (2008)
• Westra et al. (2007)

• Multisite categorical forecasting
• PCA + Logistic Regression Regonda et al. (2006b)
• May-Ostendorp et al. (2012)
  

• SVD/CCA
• Wallace et al. (1992) - early application of SVD
  
• Bretheton et al. (1991) - intercomparison SVD/CCA
  
• Cherry (2003)  -  SVD/CCA - issues
• Newmann and Sardeshmukh (1995) - SVD caveats
  
• Uvo et al. (1998)  - Application
• Rajagopalan et al. (2000) - Application
• Multisite Forecasting using CCA
• Salas et al. (2009, Project report )
• Salas et al. (2011)
• CCA based reconstruction
  
• Gill et al. (2016, SST/Wind recon)
• Gill et al. (2017, Rainfall recon)
  

• Multisite Simulation using PCA, ICA + bootstrap
• Westra et al. (2008)
• SSA + Forecasting
• Keppenne and Ghil (1992)
• Moon and Lall (1996)