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Statistical models
Results: 4614

#	Item
431	Bioinformatics Advance Access published November 6, 2015 Probabilistic models of genetic variation in structured populations applied to global human studies Wei Hao 1,∗ , Minsun Song 1,∗,† , and John D. Storey 1,2 Add to Reading List Source URL: bioinformatics.oxfordjournals.org Language: English Genetics Biology Population genetics Genetic genealogy Statistical genetics Single-nucleotide polymorphisms Genome-wide association study HardyWeinberg principle Logistic regression Principal component analysis Allele frequency Human genetic variation
432	CS 493: Algorithms for Massive Data Sets Feb 21, Local Models, Bloom Filter Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2002-03-15 13:15:13 Hashing Search algorithms Statistical theory Bloom filter Bit array Probability distributions Hash function Entropy Golomb coding KullbackLeibler divergence Birthday problem
433	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (Preliminary White Paper, November 9, 2015) Mart´ın Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Co Add to Reading List Source URL: download.tensorflow.org Language: English - Date: 2015-12-02 12:41:23 Machine learning Computing Artificial intelligence Computational neuroscience Deep learning Free statistical software TensorFlow Artificial neural networks Models of computation Dataflow Convolutional neural network Distributed computing
434	A Data-driven Metric for Comprehensive Evaluation of Saliency Models Jia Li1,2∗ , Changqun Xia1 , Yafei Song1 , Shu Fang3 , Xiaowu Chen1∗ 1 State Key Laboratory of Virtual Reality Technology and Systems, School of Co Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2015-10-24 14:56:31 Neuroscience Neuropsychology Nervous system Statistical classification Computer vision Image processing Saliency map Attention Receiver operating characteristic Metric Binary classification Amphetamine
435	Parametric Bandits: The Generalized Linear Case Olivier Capp´e LTCI Telecom ParisTech et CNRS Paris, France Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-02-24 03:46:02 Statistics Estimation theory Regression analysis Statistical theory Generalized linear models M-estimators Poisson regression Gamma distribution Maximum likelihood estimation Linear regression Fisher information Multi-armed bandit
436	On the Relationship between Sum-Product Networks and Bayesian Networks Han Zhao HAN . ZHAO @ UWATERLOO . CA Mazen Melibari MMELIBAR @ UWATERLOO . CA Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:50 Graphical models Statistical models Probability theory Bayesian network Networks Variable elimination Markov random field
437	Ann Inst Stat Math:181–208 DOIs10463Estimation and inference in functional single-index models Shujie Ma Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-01-20 02:17:05 Regression analysis Interpolation Actuarial science Econometrics Statistical methods Functional data analysis Spline B-spline Confidence and prediction bands Functional Prediction Statistics
438	Gene regulatory network inference using sparse probabilistic models Evelina Gabaˇsov´a Supervisor: David Barber Add to Reading List Source URL: s3-eu-west-1.amazonaws.com Language: English - Date: 2015-03-31 02:56:40 Statistics Econometrics Estimation theory Networks Statistical methods Regression analysis Linear regression Gene regulatory network Bayesian network Least squares Machine learning Lasso
439	Introduction to Time Series Analysis. Lecture 14. Last lecture: Maximum likelihood estimation 1. Review: Maximum likelihood estimation 2. Model selection 3. Integrated ARMA models 4. Seasonal ARMA Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2010-10-19 01:08:40 Estimation theory M-estimators Maximum likelihood estimation Statistical theory Autoregressivemoving-average model Akaike information criterion Likelihood function
440	The future of quantitative educational research methods: bigger, better and, perhaps, Bayesian? Matt Homer School of Education University of Leeds Add to Reading List Source URL: 2gupzkho2c1wvo8kk58b6cpr.wpengine.netdna-cdn.com Language: English - Date: 2016-02-01 12:22:13 Statistics Science Psychometrics Statistical inference Statistical theory Econometrics Graphical models Meta-analysis Quantitative research Educational research Research Bayesian inference

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