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Statistical methods
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#	Item
121	Statistical methods for phase I/II trials of molecularly targeted agents in oncology Maria-Athina Altzerinakou1 Xavier Paoletti2 1. CESP OncoStat, INSERM, Université Paris-Saclay, Université Paris-Sud, UVSQ, Institut G Add to Reading List Source URL: www.ideas-itn.eu Language: English - Date: 2016-06-27 05:49:50 Antineoplastic drugs Drugs Targeted therapy Clinical research Phases of clinical research
122	Sketch-based Change Detection: Methods, Evaluation, and Applications Balachander Krishnamurthy, Subhabrata Sen, Yin Zhang AT&T Labs–Research; 180 Park Avenue Florham Park, NJ, USA Add to Reading List Source URL: sahara.cs.berkeley.edu Language: English - Date: 2004-05-18 19:08:36 Time series models Time series analysis Statistical forecasting Estimation theory Computational neuroscience Autoregressive integrated moving average Autoregressive model Forecasting Exponential smoothing Forecast error Time series Anomaly detection
123	Ann Inst Stat Math:589–619 DOIs10463Influence diagnostics for robust P-splines using scale mixture of normal distributions Felipe Osorio Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-06-28 03:34:42 Statistical theory Estimation theory Robust statistics Statistical methods Econometrics Outlier Maximum likelihood estimation Efficiency Expectationmaximization algorithm Spline Regression analysis Normal distribution
124	and thank you for your interest in the German Collaborative Summer School in Epidemiology. Welcome at Munich, Course outline Add to Reading List Source URL: iea-europe.org Language: English - Date: 2015-03-10 12:39:29 Graphical models Causal inference Multivariate statistics Regression analysis Statistical methods Causality Epidemiology Statistics Scientific modelling Ludwig Maximilian University of Munich Boris Sobolev
125	ASSIST: A Suite of S functions Implementing Spline smoothing Techniques Yuedong Wang∗ University of California, Santa Barbara, USA and Chunlei Ke Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2004-05-19 00:27:37 Regression analysis Interpolation Statistical methods Econometrics Multivariate interpolation Smoothing spline Spline Thin plate spline Generalized additive model Linear regression Cubic Hermite spline Nonparametric regression
126	Bandits all the way down: UCB1 as a simulation policy in Monte Carlo Tree Search Edward J. Powley, Daniel Whitehouse, and Peter I. Cowling Department of Computer Science York Centre for Complex Systems Analysis Universit Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Monte Carlo methods Combinatorial game theory Monte Carlo tree search Statistical mechanics General game playing Reinforcement learning Simulation Thomas Nast Artificial intelligence
127	references References Afshartous, DDetermination of sample size for multilevel model design. In V. S. Williams, L. V. Jones, & I. Olkin (Eds.), Perspectives on statistics for educational research: Proceedings Add to Reading List Source URL: ierinstitute.org Language: English - Date: 2012-09-26 10:10:17 Regression analysis Analysis of variance Statistical methods Econometrics Statistical models Multilevel model Structural equation modeling Trends in International Mathematics and Science Study Mixed model Linear regression Data analysis Statistics
128	GRAPHICAL METHODS FOR PRESENTING STATISTICAL DATA: PROGRESS AND PROBLEMS Roberto Bachi Hebrew University (Israel) THE PROGRESS ACCOMPLISHED IN AUTOMATION OF GRAPHS AND ITS IMPLICATIONS Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-29 22:52:45 Graph theory Misleading graph Graph Plot Directed graph Trapezoid graph Line graph
129	The bootstrap is a popular and powerful method for assessing precision of estimators and inferential methods. However, for massive datasets which are increasingly prevalent, the bootstrap becomes prohibitively costly in Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Statistical inference Computational statistics Bootstrapping Resampling Statistics Booting
130	Objectives P erformance Analysis = Analysis + Computer Systems Performance Analyst = Mathematician + Computer Systems Persons You will learn: • Specifying performance requirements Add to Reading List Source URL: www.cs.wustl.edu Language: English - Date: 2006-08-30 03:36:52 Design of experiments Quality Quality control Statistical methods Econometrics Factorial experiment Jain Fractional factorial design Computer performance Factorial Linear regression Regression analysis

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