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Time series models
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#	Item
161	On the order fill rate in a multi-item, base-stock inventory Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2007-11-20 04:00:00 Autoregressive conditional heteroskedasticity Econometrics Computational statistics Monte Carlo methods Estimation theory Markov chain Statistics Markov models Time series analysis
162	The PageRank method for automatic detection of microseismic events Add to Reading List Source URL: www.geotomo.com Language: English - Date: 2014-10-16 12:26:42 Link analysis Time series analysis Signal processing PageRank Search engine optimization Correlation and dependence Window function Google Search Microseism Statistics Markov models Mathematical analysis
163	Three Scenarios for Interest Rates in the Transition to Normalcy Diana A. Cooke and William T. Gavin In this article, time-series models are developed to represent three alternative, potential monetary policy regimes as Add to Reading List Source URL: research.stlouisfed.org Language: English - Date: 2015-03-20 09:37:54 Money Federal Reserve Interest rates Inflation Federal funds rate Inflation targeting Federal Reserve Economic Data Federal Open Market Committee Federal Reserve System Macroeconomics Economics Monetary policy
164	Temporal Boolean Network Models of Genetic Networks and Their Inference from Gene Expression Time Series Adrian Silvescu and Vasant Honavar Articial Intelligence Research Laboratory Department of Computer Science and Gr Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2000-12-04 18:40:44 Gene expression Networks Systems biology Gene regulatory network Boolean network Boolean function Gene Boolean data type Biology Boolean algebra Molecular biology
165	A TEACHER’S GUIDE TO THE MODELS USED IN TIME SERIES MODULE OF iNZight Introduction The Time Series module of the FREE software package iNZight uses two different statistical models. The model used to obtain the series Add to Reading List Source URL: new.censusatschool.org.nz Language: English - Date: 2012-12-13 19:28:34 Data analysis Econometrics Statistical inference Exponential smoothing Smoothing Seasonality Local regression Scatterplot smoothing Forecasting Statistics Time series analysis Regression analysis
166	Modeling Time Series Hidden Markov Models Boaz Nadler The Weizmann Institute of Science Jan. 2015 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2015-01-23 04:28:13 Bioinformatics Hidden Markov model Markov processes Independent and identically distributed random variables Time series Stochastic process Statistics Statistical models Markov models
167	Parsing Epileptic Events Using a Markov Switching Process for Correlated Time Series Drausin F. Wulsin Dept. of Bioengineering, University of Pennsylvania, Philadelphia, PA USA Emily B. Fox Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2013-01-13 20:13:33 Statistics Brain Brain-computer interfacing Electrodiagnosis Electrophysiology Hidden Markov model Electroencephalography Epilepsy Markov chain Markov models Neurophysiology Medicine
168	Atmos. Chem. Phys., 14, 9707–9725, 2014 www.atmos-chem-phys.netdoi:acp © Author(sCC Attribution 3.0 License. Analysing time-varying trends in stratospheric ozone time serie Add to Reading List Source URL: www.atmos-chem-phys.net Language: English - Date: 2014-09-22 11:07:42 Regression analysis Estimation theory Markov models Trend estimation Linear regression Errors and residuals in statistics Kalman filter Hidden Markov model Autoregressive model Statistics Econometrics Time series analysis
169	Simple Time Series Models: I • definition: time series model for {xt} is specification of joint distributions (or summaries thereof) of a sequence of random variables (RVs) {Xt}, one of whose realizations is assumed to Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2015-03-11 13:05:43
170	State-Space Models – Introduction • through two seemingly simple equations, state-space models define a rich class of processes that have served well as models for time series − special cases: ARIMA and SARIMA mode Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2015-03-11 13:06:01 Stochastic processes Data compression White noise Autoregressive model Covariance Statistics Noise Time series analysis