On the order fill rate in a multi-item, base-stock inventory

Source URL: www.bm.ust.hk

• Autoregressive conditional heteroskedasticity
• Econometrics
• Computational statistics
• Monte Carlo methods
• Estimation theory
• Markov chain
• Statistics
• Markov models
• Time series analysis

The PageRank method for automatic detection of microseismic events

Source URL: www.geotomo.com

• Link analysis
• Time series analysis
• Signal processing
• PageRank
• Search engine optimization
• Correlation and dependence
• Window function
• Google Search
• Microseism
• Statistics
• Markov models
• Mathematical analysis

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

Source URL: research.stlouisfed.org

• 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

Temporal Boolean Network Models of Genetic Networks and Their Inference from Gene Expression Time Series Adrian Silvescu and Vasant Honavar Articial Intelligence Research Laboratory Department of Computer Science and Gr

Source URL: www.cs.iastate.edu

• Gene expression
• Networks
• Systems biology
• Gene regulatory network
• Boolean network
• Boolean function
• Gene
• Boolean data type
• Biology
• Boolean algebra
• Molecular biology

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

Source URL: new.censusatschool.org.nz

• Data analysis
• Econometrics
• Statistical inference
• Exponential smoothing
• Smoothing
• Seasonality
• Local regression
• Scatterplot smoothing
• Forecasting
• Statistics
• Time series analysis
• Regression analysis

Modeling Time Series Hidden Markov Models Boaz Nadler The Weizmann Institute of Science Jan. 2015

Source URL: www.wisdom.weizmann.ac.il

• Bioinformatics
• Hidden Markov model
• Markov processes
• Independent and identically distributed random variables
• Time series
• Stochastic process
• Statistics
• Statistical models
• Markov models

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

Source URL: www.stat.washington.edu

• Statistics
• Brain
• Brain-computer interfacing
• Electrodiagnosis
• Electrophysiology
• Hidden Markov model
• Electroencephalography
• Epilepsy
• Markov chain
• Markov models
• Neurophysiology
• Medicine

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

Source URL: www.atmos-chem-phys.net

• 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

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

Source URL: faculty.washington.edu

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

Source URL: faculty.washington.edu

• Stochastic processes
• Data compression
• White noise
• Autoregressive model
• Covariance
• Statistics
• Noise
• Time series analysis