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Variance function
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11	Problem Set 4: Covariance functions and Gaussian random fields GEOS 627: Inverse Problems and Parameter Estimation, Carl Tape Assigned: February 9, 2015 — Due: February 16, 2015 Last compiled: February 25, 2015 Overvi Add to Reading List Source URL: www.giseis.alaska.edu Language: English - Date: 2015-02-26 02:42:55 Covariance and correlation Summary statistics Probability distributions Stable distributions Algebra of random variables Covariance Normal distribution Central limit theorem Standard deviation Gaussian function Variance Estimation of covariance matrices
12	Automatically Grading Learners’ English Using a Gaussian Process Rogier C. van Dalen, Kate M. Knill, Mark J. F. Gales ALTA Institute / Department of Engineering, University of Cambridge, United Kingdom {rcv25,kmk1001,m Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2015-06-24 05:28:12 Geostatistics Covariance and correlation Stochastic processes Interpolation Gaussian process Normal distribution Covariance function Kernel method Speech recognition Radial basis function Correlation and dependence Variance
13	Expectations of linear functions with respect to truncated multinormal distributions, with applications for uncertainty analysis in environmental modelling Jason J. Sharples and John C.V. Pezzey Australian National Unive Add to Reading List Source URL: een.anu.edu.au Language: English - Date: 2005-05-09 04:54:58 Probability distributions Stable distributions Normal distribution Expected value Multivariate normal distribution Moment-generating function Truncated distribution Distribution Variance
14	Current Open Questions in Complete Mixability Ruodu Wang∗ July 24, 2015 Abstract Complete and joint mixability has raised considerable interest in recent few years, in Add to Reading List Source URL: sas.uwaterloo.ca Language: English - Date: 2015-07-24 16:14:44 Mathematical analysis Analysis Convex analysis Expected value Distribution Convex function Probability density function Variance Probability distributions
15	Local likelihood estimation for nonstationary random fields Add to Reading List Source URL: www.stat.ucdavis.edu Language: English - Date: 2011-04-15 15:33:05 Estimation theory Statistical theory Maximum likelihood estimation Bias of an estimator Estimator Parameter Likelihood function Standard deviation Variance function
16	Recap ... Bayes Risk .......... Add to Reading List Source URL: genome.sph.umich.edu Language: English - Date: 2013-03-18 01:07:28 Estimation theory Statistical theory Decision theory Statistical inference Bayes estimator Bias of an estimator Mean squared error Estimator Minimum-variance unbiased estimator Loss function Bayes Efficient estimator
17	ATTRIBUTING MODELLING ERRORS IN HMM SYNTHESIS BY STEPPING GRADUALLY FROM NATURAL TO MODELLED SPEECH Thomas Merritt1 , Javier Latorre2 , Simon King1 1 2 Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Markov models Probability distributions Digital signal processing Standard deviation Hidden Markov model Speech synthesis Window function Variance Ping Normal distribution
18	Appl Phys B: 313–329 DOIs00340Accuracy and precision of laser spectrometers for trace gas sensing in the presence of optical fringes and atmospheric turbulence Add to Reading List Source URL: www.inoa.it Language: English - Date: 2011-05-26 06:36:31 Fourier analysis Time series analysis Measurement Allan variance Coherence Normal distribution Autocorrelation Variance Window function Statistics Data analysis Signal processing
19	Drifts and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S.∗ Timothy Cogley Arizona State University Thomas J. Sargent New York University and Hoover Institution Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:03:46 Time series analysis Stochastic volatility Variance Loss function Volatility Markov chain Economic model Unit root Prior probability Statistics Econometrics Mathematical finance
20	Package ‘vsn’ July 17, 2015 VersionTitle Variance stabilization and calibration for microarray data Author Wolfgang Huber, with contributions from Anja von Heydebreck. Many comments and suggestions by users a Add to Reading List Source URL: bioconductor.org Language: English - Date: 2015-07-17 12:15:33 Microarrays Gene expression Data analysis Data transformation Maximum likelihood DNA microarray R Likelihood function Likelihood-ratio test Statistics Estimation theory Statistical theory