Sequential Learning . James B. Elsner and Thomas H. Jagger Department of Geography, Florida State University. Some material based on notes from a one-day short course on Bayesian modeling and prediction given by David Draper (http://www.ams.ucsc.edu/~draper).

ByMeasuring Service in Multi-Class Networks. Aleksandar Kuzmanovic and Edward W. Knightly Rice Networks Group. http://www.ece.rice.edu/networks. QoS services SLA guaranteed rate Ex. Class X serviced at minimum rate R Relative performance Ex. Class X has strict priority over class Y

ByDecision Making. A basic introduction to the field for MIE448 Cognitive Ergonomics. References. Arkes, H. R., and Blumer, C. The Psychology of Sunk Cost, Organizational Behavior and Human Decision Processess 35 , (1985), 124-140.

ByLogistic and Poisson Regression: Modeling Binary and Count Data LISA Short Course Series. Mark Seiss, Dept. of Statistics. Presentation Outline. 1. Introduction to Generalized Linear Models 2. Binary Response Data - Logistic Regression Model 3. Count Response Data -

ByNEW RESEARCH DIRECTIONS IN DELIRIUM. Sharon K. Inouye, M.D., M.P.H. Professor of Medicine Beth Israel Deaconess Medical Center Harvard Medical School Milton and Shirley F. Levy Family Chair Director, Aging Brain Center Hebrew SeniorLife. Talks/U Penn IOA talk 2006_delirium research.ppt.

ByAnomaly detection and sequential statistics in time series. Alex Shyr CS 294 Practical Machine Learning 11/12/2009 (many slides from XuanLong Nguyen and Charles Sutton). Two topics. Anomaly detection. Sequential statistics. Review. Dimensionality Reduction e.g. PCA HMM ROC curves.

ByDiscovering Collocation Patterns: from Visual Words to Visual Phrases. Junsong Yuan, Ying Wu and Ming Yang CVPR’07. Discovering Visual Collocation. An exciting idea: detour.

ByPrecipitation Volatility and its Causes: Probability of Daily Extremes. Alexander Gershunov 1 , Anna Panorska 2 and Tomasz Kozubowski 2 1 Climate, Atmospheric Science and Physical Oceanography (CASPO), Scripps Institution of Oceanography

ByMultivariate Data Analysis. Helge Voss (MPI–K, Heidelberg), Christoph Rosemann (Desy) Terascale Statistics School , Mainz, April 2011. MVA-Literature /Software Packages... a biased selection. Literature:

ByModeling regional variation in the self-thinning boundary line . Aaron Weiskittel Sean Garber Hailemariam Temesgen. Introduction. Although self-thinning constraints may not be needed for individual tree growth models (Monserud et al. 2005; For. Sci. 50: 848), they are still important for:

ByAlternative Interpretations Dr Louise McKenna Deputy Director Forensic Science Laboratory Dublin Ireland. Evidence evaluation problems. Many speakers have commented on the need to do something about evaluation of the evidence Peter deForest’s physical evidence continuum

ByThe Spatial Scan Statistic. Null Hypothesis. The risk of disease is the same in all parts of the map. . One-Dimensional Scan Statistic. The Spatial Scan Statistic. Create a regular or irregular grid of centroids covering the whole study region.

ByProfile likelihood – the complete story. ATLAS Statistics Forum CERN, 23 March, 2010. Glen Cowan (RHUL) Eilam Gross, Ofer Vitells (Weizmann Institute) Kyle Cranmer (NYU). History. For the 2008/9 CSC Higgs Combination exercise, the Statistics

ByLog-linear and logistic models. Generalised linear model ANOVA revisited Log-linear model: Poisson distribution logistic model: Binomial distribution Deviances R commands for log-linear and logistic models. ANOVA revisited.

ByChapter 15. Chapter 15 Maximum Likelihood Estimation, Likelihood Ratio Test, Bayes Estimation, and Decision Theory. Bei Ye, Yajing Zhao, Lin Qian, Lin Sun, Ralph Hurtado, Gao Chen, Yuanchi Xue, Tim Knapik, Yunan Min, Rui Li. Section 15.1. Maximum Likelihood Estimation.

ByMaximum likelihood (ML) and likelihood ratio (LR) test. Conditional distribution and likelihood Maximum likelihood estimator Information in the data and likelihood Observed and Fisher’s information Likelihood ratio test Exercise. Conditional probability distribution and likelihood.

ByMaximum likelihood (ML) and likelihood ratio (LR) test. Conditional distribution and likelihood Maximum likelihood estimator Information in the data and likelihood Observed and Fisher’s information Likelihood ratio test Exercise. Introduction.

ByOn Predictive Modeling for Claim Severity. Glenn Meyers ISO Innovative Analytics CARe Seminar June 6-7, 2005. Problems with Experience Rating for Excess of Loss Reinsurance. Use submission claim severity data Relevant, but Not credible Not developed Use industry distributions

ByPaternity Indices. Ronald S. Ostrowski, Ph.D. Department of Biology UNC-Charlotte 704-687-4057 email: rsostrow@email.uncc.edu. Forensic Inquiries:. Molecular Genetics Population Genetics. 3 billion base pairs total STR loci range from 114-142 to 281-317 base pairs.

ByBilingual term extraction revisited. Špela Vintar . University of Ljubljana spela.vintar@ ff.uni-lj .si. Extracting terms from the A c quis corpus. Using a bilingual subcorpus on Nuclear Energy (EN-SL) No linguistic preprocessing, only stop lists Universal terms and collocations:

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