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Inference
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341	Animal models in neuroscience: Can we be smarter in developing new interventions? Malcolm Macleod Add to Reading List Source URL: www.dcn.ed.ac.uk Language: English - Date: 2014-05-08 09:09:35 Medical research Health Clinical research Design of experiments Nursing research Causal inference Epidemiology Malcolm Macleod Clinical trial Translational medicine Selection bias
342	Personal Web API Recommendation Using Network-based Inference Svetlana Omelkova1 and Peep Küngas1 1 University of Tartu, Estonia , Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2016-07-08 19:52:29 Computing Information science Information retrieval World Wide Web Software architecture Social information processing Web services Application programming interface Technical communication Recommender system Mashup Web API
343	S TATC MSC 35425: T OPICS IN S TATISTICAL M ACHINE L EARNING Syllabus, Spring 2016 Topics in Statistical Machine Learning is a second course in machine learning, with students assumed to have previous exposure t Add to Reading List Source URL: galton.uchicago.edu Language: English - Date: 2016-04-13 06:56:12 Statistics Machine learning Artificial intelligence Learning Statistical models Language modeling Word embedding Pattern recognition Bayesian inference Mixture model Artificial neural network Higher-order singular value decomposition
344	Mission Energy Prediction for Unmanned Ground Vehicles Using Realtime Measurements and Prior Knowledge Add to Reading List Source URL: robotics.umich.edu Language: English - Date: 2016-08-04 12:43:38 Statistics Statistical theory Estimation theory Bayesian statistics Statistical inference Unmanned ground vehicle Prediction Regression analysis Prognostics Confidence interval Normal distribution Recursive least squares filter
345	More accurate volatility estimation and forecasts using price durations∗ Ingmar Nolte† Stephen J. Taylor‡ Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-08-09 02:41:45 Estimator Statistics Mathematical finance Statistical theory Statistical inference Robust statistics Realized variance Efficiency Estimation theory L-estimator Variance Volatility
346	INTERSECTED LOW-DENSITY PARITY-CHECK AND CONVOLUTIONAL CODES Edward A. Ratzer Cavendish Laboratory, University of Cambridge, Cambridge Key words to describe this work: Low-density parity-check (LDPC) codes, convolutional Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2003-03-06 10:25:56 Error detection and correction Coding theory Information theory Discrete mathematics Information Low-density parity-check code Convolutional code Forward error correction EXIT chart Turbo code Concatenated error correction code ReedSolomon error correction
347	REASONING-BASED STRATEGIES FOR PROCESSING COMPLEX SPATIAL QUERIES Ilya Zaslavsky, Assistant Professor, Department of Geography, Western Michigan University, U.S.A. ABSTRACT Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-29 22:37:36 Logic Epistemology Cognition Reasoning Determinacy Geographic information system Inference Spatialtemporal reasoning Uncertainty Reasoning system Probabilistic logic Reason
348	INFERENCE IN HIGH DIMENSIONAL PANEL MODELS WITH AN APPLICATION TO GUN CONTROL arXiv:1411.6507v1 [stat.ME] 24 NovALEXANDRE BELLONI, VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, AND DAMIAN KOZBUR Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-11-24 20:40:16 Statistics Regression analysis Estimation theory Lasso Linear regression Random effects model Least squares Fixed effects model Ordinary least squares Instrumental variable Feature selection Heteroscedasticity
349	Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies Stephen H. Bach Computer Science Dept. University of Maryland Add to Reading List Source URL: stephenbach.net Language: English - Date: 2014-12-17 17:02:10 Graphical models Mathematical analysis Mathematics Probability Mathematical optimization Operations research Linear programming Probability theory Markov random field Linear programming relaxation Relaxation Bayesian network
350	The Cross-Quantilogram: Measuring Quantile Dependence and Testing Directional Predictability between Time Series∗ Heejoon Han† Oliver Linton‡ Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-08 02:15:18 Statistics Regression analysis Time series analysis Statistical inference Quantile Bootstrapping Autocorrelation Autoregressive conditional heteroskedasticity

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