tag :: regression Linear

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1Multivariate Regression Outperforms Several Robust Architectures of Neural Networks in QSAR Modeling
http://pubs.acs.org/cgi-bin/article.cgi/jcisd8/1999/39/i01/html/ci980090f.html
8 years ago by @bshanks
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linear
comparison
Bookmarks
neural
regression
multivariate
stepwise
net
linearcomparisonBookmarksneuralregressionmultivariatestepwisenet
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1Translation and scaling invariance in regression models
https://roamanalytics.com/2016/11/17/translation-and-scaling-invariance-in-regression-models/#Scaling-affects-regularized-regression
6 years ago by @becker
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linear
scaling
mining
center
data
regression
machine
regularization
learning
centering
linearscalingminingcenterdataregressionmachineregularizationlearningcentering
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1Response to “Perils of LOO crossvalidation”
http://not2hastie.tumblr.com/
6 years ago by @becker
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linear
one
en
loo
out
negative
cross
correlation
leave
regression
elastic
net
validation
linearoneenloooutnegativecrosscorrelationleaveregressionelasticnetvalidation
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1Fix PyPi release (missing libgfortran.so.3) · Issue #38 · bbalasub1/glmnet_python
https://github.com/bbalasub1/glmnet_python/issues/38
5 years ago by @becker
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linear
github
error
python
issue
py
python3
hastie
fortran
bug
fix
pypi
regression
elasticnet
elastic
libgfortran
glmnet
net
lineargithuberrorpythonissuepypython3hastiefortranbugfixpypiregressionelasticnetelasticlibgfortranglmnetnet
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1Bayesian Linear Regression
https://gregorygundersen.com/blog/2020/02/04/bayesian-linear-regression/
2 years ago by @becker
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bayesian
linear
background
bayes
regression
knowledge
integration
bayesianlinearbackgroundbayesregressionknowledgeintegration
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publications (hide)88
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1Minimax estimation in the linear model with a relative squared error
M. Wilczynski. Journal of Statistical Planning and Inference, 127 (1-2): 205--212 (Jan 1, 2005)
16 years ago by @smicha
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regression
Linear
regressionLinear
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2Scaled Symbolic Regression
M. Keijzer. Genetic Programming and Evolvable Machines, 5 (3): 259--269 (September 2004)
16 years ago by @brazovayeye
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genetic
linear
regression,
algorithms,
symbolic
programming,
regression
geneticlinearregression,algorithms,symbolicprogramming,regression
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1Robust signal extraction for on-line monitoring data
P. Davies, R. Fried, and U. Gather. Journal of Statistical Planning and Inference, 122 (1-2): 65--78 (May 1, 2004)
16 years ago by @smicha
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regression
Linear
regressionLinear
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1Combining locally and globally robust estimates for regression
S. Hernández, and V. Yohai. Journal of Statistical Planning and Inference, 113 (2): 633--661 (May 1, 2003)
16 years ago by @smicha
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regression
Linear
regressionLinear
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2Fuzzy estimates of regression parameters in linear regression models for imprecise input and output data
H. Wu. Computational Statistics & Data Analysis, 42 (1-2): 203--217 (Feb 28, 2003)
16 years ago by @smicha
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regression
analysis
Linear
regressionanalysisLinear
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1Iterative weighted least-squares estimates in a heteroscedastic linear regression model
K. Inoue. Journal of Statistical Planning and Inference, 110 (1-2): 133--146 (Jan 15, 2003)
16 years ago by @smicha
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linear
Heteroscedastic
regression
linearHeteroscedasticregression
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1On some heteroskedasticity-robust estimators of variance-covariance matrix of the least-squares estimators
A. Bera, T. Suprayitno, and G. Premaratne. Journal of Statistical Planning and Inference, 108 (1-2): 121--136 (Nov 1, 2002)
16 years ago by @smicha
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regression
model
Linear
regressionmodelLinear
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1Bootstrap J tests of nonnested linear regression models
R. Davidson, and J. MacKinnon. Journal of Econometrics, 109 (1): 167--193 (July 2002)
16 years ago by @smicha
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regression
Linear
regressionLinear
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2SECRET: a scalable linear regression tree algorithm.
A. Dobra, and J. Gehrke. KDD, page 481-487. ACM, (2002)
17 years ago by @jil
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gehrke
linear
decision
regression
tree
kdd
gehrkelineardecisionregressiontreekdd
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1A simple and effective method for predicting travel times on freeways
J. Rice, and E. van Zwet. Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE, page 227-232. (2001)
15 years ago by @naufraghi
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freeway
linear
statistical
traffic-forecast-2009
road
varying
regression
prediction
coefficients
time
status
analysiscurrent
traffic
travel
theory
freewaylinearstatisticaltraffic-forecast-2009roadvaryingregressionpredictioncoefficientstimestatusanalysiscurrenttraffictraveltheory
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1Minimax estimation in linear regression under restrictions
H. Blaker. Journal of Statistical Planning and Inference, 90 (1): 35--55 (Sep 1, 2000)
16 years ago by @smicha
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regression
Linear
regressionLinear
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1Some further results on the efficiency of the Cochrane-Orcutt-estimator
D. Stemann, and G. Trenkler. Journal of Statistical Planning and Inference, 88 (2): 205--214 (Aug 1, 2000)
16 years ago by @smicha
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regression
model
Linear
regressionmodelLinear
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1Bayesian sensitivity analysis in elliptical linear regression models
R. Arellano-Valle, M. Galea-Rojas, and P. Zuazola. Journal of Statistical Planning and Inference, 86 (1): 175--199 (Apr 15, 2000)
16 years ago by @smicha
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models
regression
Linear
modelsregressionLinear
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1Nonlinear unbiased estimation in the linear regression model with nonnormal disturbances
H. Knautz. Journal of Statistical Planning and Inference, 81 (2): 293--309 (Nov 1, 1999)
16 years ago by @smicha
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regression
model
Linear
regressionmodelLinear
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1Local linear regression estimation for time series with long-range dependence
E. Masry, and J. Mielniczuk. Stochastic Processes and their Applications, 82 (2): 173--193 (Aug 1, 1999)
16 years ago by @smicha
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estimation
linear
regression
Local
estimationlinearregressionLocal
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1Termination of Ca$^2+$ release by a local inactivation of ryanodine receptors in cardiac myocytes.
J. Sham, L. Song, Y. Chen, L. Deng, M. Stern, E. Lakatta, and H. Cheng. Proc. Natl. Acad. Sci. U. S. A., 95 (25): 15096--15101 (December 1998)
15 years ago by @hake
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Nonlinear
Agonists,
Calcium,
Feed,
Channel
Biological,
Analysis,
9844021
Regression
Rumen,
Channels,
Support,
Rats,
Linear
Animal
P.H.S.,
Receptor
Cattle,
Male,
Dynamics,
Models,
Bone
Animals,
Ryanodine
Calcium
Female,
Myocardium,
Minerals,
Dietary
Gov't,
Research
Meat,
Electrophysiology,
Wistar,
Kinetics,
Bones,
Proteins,
U.S.
Non-U.S.
Channel,
and
Pyrroles,
Soybeans,
Release
NonlinearAgonists,Calcium,Feed,ChannelBiological,Analysis,9844021RegressionRumen,Channels,Support,Rats,LinearAnimalP.H.S.,ReceptorCattle,Male,Dynamics,Models,BoneAnimals,RyanodineCalciumFemale,Myocardium,Minerals,DietaryGov't,ResearchMeat,Electrophysiology,Wistar,Kinetics,Bones,Proteins,U.S.Non-U.S.Channel,andPyrroles,Soybeans,Release
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1On contractions in linear regression
J. Gross. Journal of Statistical Planning and Inference, 74 (2): 343--351 (Nov 1, 1998)
16 years ago by @smicha
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regression
model
Linear
regressionmodelLinear
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1Direct measurement of SR release flux by tracking 'Ca$^2+$ spikes' in rat cardiac myocytes.
L. Song, J. Sham, M. Stern, E. Lakatta, and H. Cheng. J. Physiol., (November 1998)
15 years ago by @hake
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Nonlinear
Ruthenium
Anoxia,
Calcium,
Biological,
Electric
Regression
Rumen,
Size,
Animal
Stimulation,
Chelating
Techniques,
Indoles,
Bone
Ryanodine
Animals,
Clonazepam,
Oxygen,
Calcium
Female,
Agents,
Minerals,
Research
Cells,
Meat,
Electrophysiology,
Vitro,
U.S.
Fluorescent
Algorithms,
Membrane
Confocal,
Soybeans,
Cell
Release
Patch-Clamp
Agonists,
Feed,
9769413
Egtazic
Channel
Analysis,
Cytosol,
Channels,
Sprague-Dawley,
Potentials,
Support,
Sodium-Calcium
Acid,
Rats,
Linear
Reticulum,
P.H.S.,
Receptor
Cattle,
Male,
Dynamics,
Microscopy,
Models,
Exchanger,
Red,
Signaling,
In
Mitochondria,
Myocardium,
Blockers,
Sarcoplasmic
Dietary
Gov't,
Fluorescence,
Wistar,
Bones,
Kinetics,
Proteins,
Channel,
Non-U.S.
and
Pyrroles,
Dyes,
Cultured,
Heart,
NonlinearRutheniumAnoxia,Calcium,Biological,ElectricRegressionRumen,Size,AnimalStimulation,ChelatingTechniques,Indoles,BoneRyanodineAnimals,Clonazepam,Oxygen,CalciumFemale,Agents,Minerals,ResearchCells,Meat,Electrophysiology,Vitro,U.S.FluorescentAlgorithms,MembraneConfocal,Soybeans,CellReleasePatch-ClampAgonists,Feed,9769413EgtazicChannelAnalysis,Cytosol,Channels,Sprague-Dawley,Potentials,Support,Sodium-CalciumAcid,Rats,LinearReticulum,P.H.S.,ReceptorCattle,Male,Dynamics,Microscopy,Models,Exchanger,Red,Signaling,InMitochondria,Myocardium,Blockers,SarcoplasmicDietaryGov't,Fluorescence,Wistar,Bones,Kinetics,Proteins,Channel,Non-U.S.andPyrroles,Dyes,Cultured,Heart,
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1Genetic Programming, Neural Networks and Linear Regression in Software Project Estimation
J. Dolado, and L. Fernandez. International Conference on Software Process Improvement, Research, Education and Training, page 157--171. London, British Computer Society, (10-11 September 1998)
16 years ago by @brazovayeye
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genetic
linear
algorithms,
networks,
neural
programming,
regression
geneticlinearalgorithms,networks,neuralprogramming,regression
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1Exploring local calcium feedback: trying to fool mother nature.
M. Stern. J. Gen. Physiol., 112 (3): 259--262 (September 1998)
15 years ago by @hake
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Nonlinear
Ruthenium
Anoxia,
Calcium,
Biological,
Electric
Regression
Rumen,
Size,
Animal
Stimulation,
Chelating
Techniques,
Indoles,
Bone
Ryanodine
Animals,
Clonazepam,
Oxygen,
9725889
Calcium
Female,
Agents,
Minerals,
Research
Cells,
Meat,
Electrophysiology,
Vitro,
U.S.
Fluorescent
Algorithms,
Membrane
Confocal,
Soybeans,
Cell
Release
Patch-Clamp
Agonists,
Feed,
Egtazic
Channel
Analysis,
Cytosol,
Channels,
Sprague-Dawley,
Potentials,
Support,
Sodium-Calcium
Acid,
Rats,
Linear
Reticulum,
P.H.S.,
Receptor
Cattle,
Male,
Dynamics,
Microscopy,
Models,
Exchanger,
Red,
Feedback,
Signaling,
In
Mitochondria,
Myocardium,
Blockers,
Sarcoplasmic
Dietary
Gov't,
Fluorescence,
Wistar,
Bones,
Kinetics,
Proteins,
Channel,
Non-U.S.
and
Pyrroles,
Dyes,
Cultured,
Heart,
NonlinearRutheniumAnoxia,Calcium,Biological,ElectricRegressionRumen,Size,AnimalStimulation,ChelatingTechniques,Indoles,BoneRyanodineAnimals,Clonazepam,Oxygen,9725889CalciumFemale,Agents,Minerals,ResearchCells,Meat,Electrophysiology,Vitro,U.S.FluorescentAlgorithms,MembraneConfocal,Soybeans,CellReleasePatch-ClampAgonists,Feed,EgtazicChannelAnalysis,Cytosol,Channels,Sprague-Dawley,Potentials,Support,Sodium-CalciumAcid,Rats,LinearReticulum,P.H.S.,ReceptorCattle,Male,Dynamics,Microscopy,Models,Exchanger,Red,Feedback,Signaling,InMitochondria,Myocardium,Blockers,SarcoplasmicDietaryGov't,Fluorescence,Wistar,Bones,Kinetics,Proteins,Channel,Non-U.S.andPyrroles,Dyes,Cultured,Heart,
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1Multivariate Regression Outperforms Several Robust Architectures of Neural Networks in QSAR Modeling

1Translation and scaling invariance in regression models

1Response to “Perils of LOO crossvalidation”

1Fix PyPi release (missing libgfortran.so.3) · Issue #38 · bbalasub1/glmnet_python

1Bayesian Linear Regression

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1Minimax estimation in the linear model with a relative squared error

2Scaled Symbolic Regression

1Robust signal extraction for on-line monitoring data

1Combining locally and globally robust estimates for regression

2Fuzzy estimates of regression parameters in linear regression models for imprecise input and output data

1Iterative weighted least-squares estimates in a heteroscedastic linear regression model

1On some heteroskedasticity-robust estimators of variance-covariance matrix of the least-squares estimators

1Bootstrap J tests of nonnested linear regression models

2SECRET: a scalable linear regression tree algorithm.

1A simple and effective method for predicting travel times on freeways

1Minimax estimation in linear regression under restrictions

1Some further results on the efficiency of the Cochrane-Orcutt-estimator

1Bayesian sensitivity analysis in elliptical linear regression models

1Nonlinear unbiased estimation in the linear regression model with nonnormal disturbances

1Local linear regression estimation for time series with long-range dependence

1Termination of Ca$^2+$ release by a local inactivation of ryanodine receptors in cardiac myocytes.

1On contractions in linear regression

1Direct measurement of SR release flux by tracking 'Ca$^2+$ spikes' in rat cardiac myocytes.

1Genetic Programming, Neural Networks and Linear Regression in Software Project Estimation

1Exploring local calcium feedback: trying to fool mother nature.

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