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Statistical data
Results: 13063

#	Item
231	On high-dimensional robust regression How to pick the loss in high-dimensional regression? Noureddine El Karoui joint with Bean, Bickel, Lim, Yu Department of Statistics Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-03-09 01:29:59 Statistics Regression analysis Estimation theory Statistical theory Parametric statistics Linear regression Robust regression Normal distribution Degrees of freedom Errors and residuals
232	Developing Data Analytics Skills in Japan: Status and Challenge Hiroshi Maruyama, The Institute of Statistical Mathematics Abstract: Japan needs to develop data analytics talents quickly to catch up with the trends of us Add to Reading List Source URL: datascientist.ism.ac.jp Language: English - Date: 2014-08-04 02:44:00 Computing Information technology Business intelligence Business Formal sciences Big data Data management Technology forecasting Transaction processing Analytics Data science Aster Data Systems
233	LETTER Filtering data from high-throughput experiments based on measurement reliability In the context of the plethora of data currently generated in Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2010-11-16 04:14:46 Psychometrics Statistics Knowledge Science Molecular biology Computational biology Sepp Hochreiter Bioinformatics Statistical hypothesis testing G factor Noise Gene expression
234	Data-Intensive Statistical Challenges in Astrophysics Alex Szalay The Johns Hopkins University Collaborators: T. Budavari, C-W Yip (JHU), Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-03-09 01:30:23 Astronomy Astronomical surveys Observational astronomy Physical cosmology Alfred P. Sloan Foundation Sloan Digital Sky Survey Redshift survey Principal component analysis The Dark Energy Survey 2dF Galaxy Redshift Survey Alex Szalay Redshift
235	Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Marko v Chain Monte Carlo Song-Chun Zhu, Rong Zhang, Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2002-05-23 04:31:38 Statistics Monte Carlo methods Probability theory Probability Markov models Computational statistics Statistical mechanics Markov chain Monte Carlo Markov chain MetropolisHastings algorithm Bayesian network Brownian motion
236	The Analysis of Experimental Uncertainty in AP Physics 1 and 2 The following paragraphs describe the expectations for the depth of understanding of experimental uncertainty that will be assessed on the AP Physics 1 and 2 Add to Reading List Source URL: secure-media.collegeboard.org Language: English - Date: 2015-02-04 01:16:45 Statistics Statistical theory Knowledge Numerical analysis Estimation theory Advanced Placement Measurement Uncertainty AP Physics 1 Linear regression Approximation error Data analysis
237	Multi Modal Laughter Detection in Natural Discourses Stefan Scherer, Friedhelm Schwenker, and Nick Campbell University of Ulm, NiST, ATR Abstract. ABSTRACT Add to Reading List Source URL: www.speech-data.jp Language: English - Date: 2010-01-09 02:24:08 Machine learning Statistical classification Support vector machine Pattern recognition Laughter Image segmentation Cognition Cognitive science Structure
238	Ingmar R. Prucha Department of Economics University of Maryland College Park, MDTOPICS IN MICROECONOMETRICS Add to Reading List Source URL: www.vgse.at Language: English - Date: 2011-11-23 05:32:04 Statistics Data Fellows of the Econometric Society Statistical models Econometrics Econometricians Spatial econometrics Nonparametric statistics Econometric model Regression analysis Spatial analysis Methodology of econometrics
239	Sampling-based Data Mining Algorithms: Modern Techniques and Case Studies Matteo Riondato Brown University, Providence, RI 02912, USA Abstract. Sampling a dataset for faster analysis and looking at it Add to Reading List Source URL: matteo.rionda.to Language: English - Date: 2016-07-30 12:22:15 Mathematics Graph theory Network theory Theoretical computer science Computational learning theory Dimension Statistical classification VC dimension Centrality Sampling Statistics Mode
240	Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:14 Statistics Statistical theory Estimation theory Expectationmaximization algorithm Maximum likelihood estimation Variational Bayesian methods Linear regression Normal distribution Covariance Regression analysis Mixture model

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