https://www.southampton.ac.uk/courses/2026-27/modules/stat6135
Generalised Linear Models | STAT6135 | University of Southampton
This module aims to introduce students to a wide range of statistical models grouped by the unifying theory of generalized linear models: linear, logistic,...
linear modelsuniversity ofgeneralisedsouthampton
https://spiral.imperial.ac.uk/entities/publication/7b38137f-12ae-4e46-8d7c-f16b4ff54ff4
Linear models of activation cascades: analytical solutions and coarse-graining of delayed signal...
Cellular signal transduction usually involves activation cascades, the sequential activation of a series of proteins following the reception of an input...
linear modelsanalytical solutions
https://pubmed.ncbi.nlm.nih.gov/20037674/
Diagnostic Measures for Generalized Linear Models with Missing Covariates
In this paper, we carry out an in-depth investigation of diagnostic measures for assessing the influence of observations and model misspecification in the...
generalized linear modelsdiagnosticmeasuresmissingcovariates
https://learn.mit.edu/?resource_type_group=course&resource=3155
Machine Learning with Python: from Linear Models to Deep Learning. | MIT Learn
machine learning with pythonlinear models
https://jp.mathworks.com/help/stats/generalized-linear-models.html?s_tid=CRUX_lftnav
Generalized Linear Models - MATLAB & Simulink
Logistic regression, multinomial regression, Poisson regression, and more
generalized linear modelsmatlabsimulink
https://programsandcourses.anu.edu.au/2022/course/STAT4030
Generalised Linear Models - ANU
linear modelsgeneralisedanu
https://www.drps.ed.ac.uk/16-17/dpt/cxmath11121.htm
Course Catalogue - Likelihood and Generalized Linear Models (MATH11121)
generalized linear modelscourse cataloguelikelihood
https://linearwalking.github.io/
The Surprising Effectiveness of Linear Models for Whole-Body Model-Predictive Control
Hardware and simulation results of a Convex-MPC controller for legged robots.
linear models
https://in.mathworks.com/help/ident/ug/apply-initial-conditions-when-simulating-identified-LTI-Models.html
Apply Initial Conditions When Simulating Identified Linear Models - MATLAB & Simulink
This example describes the workflow for obtaining estimated initial conditions (ICs) for a transfer function model and using the ICs when simulating the model.
initial conditionslinear modelsapplysimulatingidentified
https://www.edx.org/learn/machine-learning/massachusetts-institute-of-technology-machine-learning-with-python-from-linear-models-to-deep-learning?ref=aitoolsclub.com
MITx: Machine Learning with Python: from Linear Models to Deep Learning. | edX
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. --...
machine learning with pythonlinear models
https://dceg.cancer.gov/tools/analysis/bsr
Bayesian Subset Regression (BSR) for high-dimensional generalized linear models - NCI
BSR (Bayesian Subset Regression) is an R package that implements the Bayesian subset modeling procedure for high-dimensional generalized linear models.
generalized linear modelsbayesiansubsetregressionbsr
https://nl.mathworks.com/help/stats/lasso-regularization-of-generalized-linear-models.html
Lasso Regularization of Generalized Linear Models - MATLAB & Simulink
The lasso algorithm produces a smaller model with fewer predictors.
generalized linear modelslassoregularizationmatlabsimulink
https://nl.mathworks.com/help/ident/ref/idgrey.simsd.html
simsd - Simulate linear models with uncertainty using Monte Carlo method - MATLAB
simsd simulates linear models using the Monte Carlo method.
monte carlo methodlinear modelssimulate
https://en.wikibooks.org/wiki/R_Programming/Linear_Models
R Programming/Linear Models - Wikibooks, open books for an open world
r programminglinear modelsopen bookswikibooksworld
https://jp.mathworks.com/help/ident/ref/idgrey.simsd.html
simsd - Simulate linear models with uncertainty using Monte Carlo method - MATLAB
simsd simulates linear models using the Monte Carlo method.
monte carlo methodlinear modelssimulate
https://genomicsclass.github.io/book/pages/linear_models_in_practice.html
Linear models in practice
linear modelspractice
https://programsandcourses.anu.edu.au/2022/course/STAT7030
Generalised Linear Models - ANU
linear modelsgeneralisedanu
https://blogs.sas.com/content/iml/2019/11/20/predicted-values-generalized-linear-models-ilink-sas.html
Predicted values in generalized linear models: The ILINK option in SAS - The DO Loop
In a linear regression model, the predicted values are on the same scale as the response variable.
generalized linear models
https://handbook.monash.edu/2022/units/epm5009
EPM5009 - Categorical data and generalised linear models - Monash University
This is the official site of the Monash University Handbook for course and unit information.
categorical datalinear modelsgeneralisedmonashuniversity
https://infoscience.epfl.ch/entities/publication/777fa3e9-d55c-4251-8a11-57698a86ab17
Advanced linear models for gyro-backward wave instabilities in gyrotrons
Parasitic oscillations excitation is one of the main point hindering high-power gyrotron operation for fusion application. These instabilities, besides being...
linear modelsadvancedgyrobackwardwave
https://programsandcourses.anu.edu.au/2027/course/STAT3015
Generalised Linear Models - ANU
linear modelsgeneralisedanu
https://kr.mathworks.com/help/stats/generalized-linear-models.html?s_tid=CRUX_topnav
Generalized Linear Models - MATLAB & Simulink
Logistic regression, multinomial regression, Poisson regression, and more
generalized linear modelsmatlabsimulink
https://pmc.ncbi.nlm.nih.gov/articles/PMC10982637/
Transfer Learning under High-dimensional Generalized Linear Models - PMC
In this work, we study the transfer learning problem under highdimensional generalized linear models (GLMs), which aim to improve the fit on target data by...
generalized linear modelstransfer learninghighdimensionalpmc
https://kr.mathworks.com/help/econ/time-series-regression-i-linear-models.html
Time Series Regression I: Linear Models - MATLAB & Simulink Example
This example introduces basic assumptions behind multiple linear regression models.
time serieslinear modelsmatlab simulinkregressionexample
https://www.sas.com/en_us/webinars/ate-intro-hierarchical-linear-models-proc-mixed.html
Introduction to Hierarchical Linear Models Using PROC MIXED | SAS
This presentation provides a conceptual understanding of hierarchical linear models and their appropriate use in the analysis of hierarchical data structures.
introduction tolinear modelshierarchicalusingproc
https://www.mathworks.com/help/ident/ug/available-linear-models.html
Available Linear Models - MATLAB & Simulink
Summary of linear model types that you can use for system identification.
linear modelsavailablematlabsimulink
https://books.google.com.au/books?id=UzmDDwAAQBAJ
Generalized Linear Models - P. McCullagh - Google Books
The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of...
generalized linear modelspgooglebooks
https://github.com/dataiku/dss-plugin-generalized-linear-models
GitHub - dataiku/dss-plugin-generalized-linear-models: Dataiku DSS plugin to train Generalized...
Dataiku DSS plugin to train Generalized Linear Models - dataiku/dss-plugin-generalized-linear-models
generalized linear modelsdataiku dssgithubplugintrain
https://experts.umn.edu/en/publications/doptimum-designs-for-heteroscedastic-linear-models/
D-optimum designs for heteroscedastic linear models - Experts@Minnesota
linear modelsoptimumdesignsexpertsminnesota
https://www.usgs.gov/publications/diet-analysis-using-generalized-linear-models-derived-foraging-processes-using-r
Diet analysis using generalized linear models derived from foraging processes using R package...
Diet analysis integrates a wide variety of visual, chemical, and biological identification of prey. Samples are often treated as compositional data, where each...
generalized linear models
https://programsandcourses.anu.edu.au/2019/course/STAT7030/Second%20Semester/7533
Generalised Linear Models - ANU
linear modelsgeneralisedanu
https://programsandcourses.anu.edu.au/2020/course/STAT7030
Generalised Linear Models - ANU
linear modelsgeneralisedanu
https://stat.osu.edu/courses/stat-7410
Linear Models | Department of Statistics
linear modelsdepartment ofstatistics
https://pubmed.ncbi.nlm.nih.gov/20808728/
Regularization Paths for Generalized Linear Models via Coordinate Descent
We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, two-class logistic...
generalized linear modelsregularizationpathsviacoordinate
https://www.stat.ubc.ca/course/graduate/winter/2019/stat-538a-generalized-linear-models
STAT 538A: Generalized Linear Models | UBC Statistics
generalized linear modelsstatubc
https://cscu.cornell.edu/workshop/linear-models-for-spatial-data/
Linear Models for Spatial Data - CSCU
Mar 13, 2026 - When data is measured at multiple spatial locations, it often follows that measurements that are close together are more similar than measurements that are...
linear modelsspatial datacscu
https://la.mathworks.com/help/stats/classificationlinear.edge.html
ClassificationLinear.edge - Classification edge for linear classification models - MATLAB
This MATLAB function returns the classification edges for the binary, linear classification model Mdl using predictor data in X and corresponding class labels...
linear modelsedgeclassificationmatlab
https://www4.uib.no/en/studies/courses/stat201
Generalised Linear Models | UiB
linear modelsgeneraliseduib
https://research-portal.st-andrews.ac.uk/en/publications/reversible-jump-methods-for-generalised-linear-models-and-general/
Reversible jump methods for generalised linear models and generalised linear mixed models -...
linear modelsreversiblejumpmethodsgeneralised
https://www.edx.org/learn/machine-learning/massachusetts-institute-of-technology-machine-learning-with-python-from-linear-models-to-deep-learning
MITx: Machine Learning with Python: from Linear Models to Deep Learning. | edX
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. --...
machine learning with pythonlinear models
https://www.ideals.illinois.edu/items/29292
Adaptive L-estimation of linear models | IDEALS
linear modelsadaptiveestimationideals
https://experts.arizona.edu/en/publications/epsilon-dichotomy-for-linear-models/
Epsilon dichotomy for linear models - University of Arizona
linear modelsuniversity ofepsilondichotomyarizona
https://aab.copernicus.org/articles/68/721/2025/
AAB - Comparison of non-linear models for growth characterization of purebred Ayrshire and...
Abstract. The objective of this study was to compare four non-linear mathematical models in terms of evaluating the growth pattern of Ayrshire and crossbred...
non linear
https://au.mathworks.com/help/ident/ug/topic-about-identified-linear-models.html
About Identified Linear Models - MATLAB & Simulink
System Identification Toolbox software uses objects to represent a variety of linear and nonlinear model structures.
linear modelsidentifiedmatlabsimulink
https://www.mathworks.com/help/ident/ug/online-state-estimation-using-identified-models-linear-models.html
Online State Estimation Using Identified Linear Models - MATLAB & Simulink
Generate the state-transition and measurement functions for online state and output estimation using linear identification techniques.
state estimationlinear modelsonlineusingidentified
https://programsandcourses.anu.edu.au/2026/course/STAT3015
Generalised Linear Models - ANU
linear modelsgeneralisedanu
https://research.manchester.ac.uk/en/publications/maximum-likelihood-estimation-of-generalized-linear-models-with-c/
Maximum likelihood estimation of generalized linear models with covariate measurement error -...
maximum likelihood estimationgeneralized linear models
https://video.sas.com/detail/videos/sas-stat_/video/5446437712001/selecting-effects-for-generalized-linear-models-with-the-hpgenselect-procedure?autoStart=true
Selecting Effects for Generalized Linear Models with the HPGENSELECT Procedure - SAS/STAT - SAS...
Gordon Brown introduces the HPGENSELECT procedure in SAS/STAT which provides both model building and model fitting for generalized linear models.
generalized linear models
https://se.mathworks.com/help/stats/classificationlinear.loss.html
ClassificationLinear.loss - Classification loss for linear classification models - MATLAB
This MATLAB function returns the classification losses for the binary, linear classification model Mdl using predictor data in X and corresponding class labels...
linear modelslossclassificationmatlab
https://edu.epfl.ch/studyplan/en/master/data-science/coursebook/linear-models-MATH-341
Linear models - MATH-341 - EPFL
Regression modelling is a fundamental tool of statistics, because it describes how the law of a random variable of interest may depend on other variables. This...
linear modelsmathepfl
https://www3.monash.edu/pubs/2012handbooks/units/EPM5009.html
EPM5009: Categorical data and generalised linear models - Monash University
EPM5009: Categorical data and generalised linear models
categorical datalinear modelsgeneralisedmonashuniversity
https://www.mathworks.com/help/sps/ug/estimate-linear-models-by-dynamic-simulation.html
Estimate Linear Models from Simulation Results - MATLAB & Simulink
Use Simulink Control Design software to insert signals into a simulation for frequency response estimation.
linear modelsestimatesimulationresultsmatlab
https://education.scinet.utoronto.ca/mod/resource/view.php?id=2011&lang=fr
MSC1090 - Fall 2022: 14. Generalized linear models | SciNet
generalized linear modelsfallscinet
https://math.duke.edu/courses/linear-models-1
Linear Models | Department of Mathematics
Multiple linear regression and model building. Exploratory data analysis techniques, variable transformations and selection, parameter estimation and...
linear modelsdepartment ofmathematics
https://tabletclass-academy.teachable.com/courses/california-high-school-proficiency-exam-chspe-math-prep-course/lectures/30245384
7.7 Linear Models/Word Problems | TabletClass Math Academy
Clear and Understandable Math
linear modelsword problemsmathacademy
https://programsandcourses.anu.edu.au/2017/course/STAT7030
Generalised Linear Models - ANU
linear modelsgeneralisedanu
https://research.vu.nl/en/publications/hybrid-log-linear-models-for-spatial-interaction-and-stability-an/
Hybrid log-linear models for spatial interaction and stability analysis - Vrije Universiteit...
linear models
https://stat.ethz.ch/R-manual/R-patched/library/MASS/html/rlm.html
R: Robust Fitting of Linear Models
rfittingmodels
https://fs.unm.edu/nss8/index.php/111/article/view/3532?articlesBySameAuthorPage=8
The Graphical Method for Finding the Optimal Solution for Neutrosophic linear Models and Taking...
graphical method
https://conservancy.umn.edu/items/8e7047c3-a0f2-49bb-9e0e-9b1f72ff045a
Laplace Approximations for Censored Linear Regression Models
linear regressionlaplaceapproximationscensoredmodels
https://repository.lib.ncsu.edu/items/bf216699-b07a-42f6-89d4-ee5e2023488b/full
Recursive estimation of non-linear time series models
non lineartime seriesrecursiveestimationmodels
https://tr.soe.ucsc.edu/research/technical-reports/UCSC-SOE-21-02
UCSC-SOE-21-02: Convergence Rate for Predictive Densities of Bayes Generalized Linear Models with a...
https://changchunhe.github.io/files/html/teaching-materials/Multilevel_Linear_Models.html
Multilevel Linear Models
multilevellinearmodels
https://kr.mathworks.com/videos/data-driven-control-system-identification-70897.html
Estimate Linear and Nonlinear Models | System Identification and Control System Design - MATLAB
Identify model of a DC motor using linear models such as transfer function and state space and nonlinear models such as nonlinear ARX models.
system identificationcontrol designestimatelinearmodels
https://mpra.ub.uni-muenchen.de/39360/
Estimation in Non-Linear Non-Gaussian State Space Models with Precision-Based Methods Munich...
state space models
https://boris-portal.unibe.ch/entities/publication/f243e900-e84d-4d6c-8858-a9cc4287345c
Non-linear explicit micro-FE models accurately predict axial pull-out force of cortical screws in...
https://ideas.repec.org/a/bla/obuest/v59y1997i1p183-86.html
Orthogonality Tests in Linear Models
This paper considers several tests of orthogonality conditions in linear models where stochastic errors may be heteroskedastic or autocorrelated. It is shown...
orthogonalitytestslinearmodels
https://pure.psu.edu/en/publications/reprint-statistical-inference-for-linear-mediation-models-with-hi/
Reprint: Statistical inference for linear mediation models with high-dimensional mediators and...
statistical inference
https://scholarworks.gsu.edu/items/96750bf1-0d9e-45f8-9632-c969e43dc3a5
Power and Bias in Hierarchical Linear Growth Models: More Measurements for Fewer People
https://ideas.repec.org/p/arx/papers/1801.01093.html
Comparing the Forecasting Performances of Linear Models for Electricity Prices with High RES...
Downloadable! This paper compares alternative univariate versus multivariate models, frequentist versus Bayesian autoregressive and vector autoregressive...
https://019c2310-d1f3-c202-b65d-2af52db09a6c.share.connect.posit.cloud/index.html
Analysing Data using Linear Models
This is the data analysis textbook used for study programmes at the faculty of BMS at the University of Twente.
analysing datausinglinearmodels
https://discovery.fiu.edu/display/pub290432
Mispricing in linear asset pricing models
asset pricinglinearmodels
https://publikationen.uni-tuebingen.de/xmlui/handle/10900/101958
Modeling Multiple Item Context Effects With Generalized Linear Mixed Models
modelingmultipleitemcontexteffects
https://blogs.sas.com/content/iml/2023/08/21/bootstrap-gls-parmest-sas.html
A simple way to bootstrap linear regression models in SAS - The DO Loop
I've written many articles about bootstrapping in SAS, including several about bootstrapping in regression models.
https://genomicsclass.github.io/book/pages/intro_using_regression.html
Introduction to Linear Models
introduction tolinearmodels
https://hspop.uw.edu/publication/testing-concordance-of-instrumental-variable-effects-in-generalized-linear-models-with-application-to-mendelian-randomization/
Testing concordance of instrumental variable effects in generalized linear models with application...
Dai JY, Chan KC, Hsu L. Testing concordance of instrumental variable effects in generalized linear models with application to Mendelian randomization. Stat...
generalized linear models
https://research.ibm.com/publications/matrix-sketching-framework-for-linear-mixed-models-in-association-studies
Matrix sketching framework for linear mixed models in association studies for Genome Research - IBM...
Matrix sketching framework for linear mixed models in association studies for Genome Research by Myson Burch et al.
https://research.tudelft.nl/en/publications/nonlinear-modeling-and-piecewise-linear-parameter-varying-models-/
Nonlinear modeling and piecewise linear parameter varying models for a hybrid electric vehicle - TU...
https://www.mdpi.com/2571-9394/7/4/57
Comparison of Linear and Beta Autoregressive Models in Forecasting Nonstationary Percentage Time...
Positive percentage time series are present in many empirical applications; they take values in the continuous interval (0,1) and are often modeled with linear...
autoregressive models
https://theses.gla.ac.uk/1367/
Implementation of gaussian process models for non-linear system identification - Enlighten Theses
gaussian process
https://it.mathworks.com/help/control/ug/linear-parameter-varying-models.html
Linear Parameter-Varying Models - MATLAB & Simulink
An LPV system is a linear state-space model whose dynamics vary as a function of time-varying parameters.
linearparametermodelsmatlabsimulink
https://handbook.unsw.edu.au/undergraduate/courses/2022/math2931
Handbook - Higher Linear Models
The UNSW Handbook is your comprehensive guide to degree programs, specialisations, and courses offered at UNSW.
handbookhigherlinearmodels
https://cran.stat.sfu.ca/web/packages/bssm/vignettes/psi_pf.html
\psi-APF for non-linear Gaussian state space models
non linearstate spacepsiapfgaussian
https://docs.cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-glm
The CREATE MODEL statement for generalized linear models | BigQuery | Google Cloud Documentation
Use the CREATE MODEL statement for creating linear regression and logistic regression models in BigQuery.
generalized linear models
https://research.ibm.com/publications/closed-form-estimators-for-high-dimensional-generalized-linear-models
Closed-form estimators for high-dimensional generalized linear models for NeurIPS 2015 - IBM...
Closed-form estimators for high-dimensional generalized linear models for NeurIPS 2015 by Eunho Yang et al.
generalized linear modelsclosed form
https://yorkspace.library.yorku.ca/items/2b27c4e4-ce32-4b22-b86d-93ff41b483b7
Modified BIC for Model Selection in Linear Mixed Models
Linear mixed effects models are widely used in applications to analyze clustered and longitudinal data. Model selection in linear mixed models is more...
model selectionmodifiedbiclinearmixed
https://infoscience.epfl.ch/entities/publication/702f218a-ec8c-4c94-8887-9736e3d0122b
On Linear Interpolation in the Latent Space of Deep Generative Models
The underlying geometrical structure of the latent space in deep generative models is in most cases not Euclidean, which may lead to biases when comparing...
linear interpolationlatent space
https://catalog.registrar.ucla.edu/course/2021/stats100c?siteYear=2021
Linear Models
Few universities in the world offer the extraordinary range and diversity of academic programs that students enjoy at UCLA. Leadership in education, research,...
linearmodels
https://la.mathworks.com/help/control/fixed-coefficient-models.html?s_tid=CRUX_lftnav
Numeric Linear Time-Invariant Models - MATLAB & Simulink
Common models of linear systems, such as transfer functions and state-space models
numericlineartimeinvariantmodels
https://spiral.imperial.ac.uk/entities/publication/ca1010df-706a-4924-a181-7b8c19aac109
Improved likelihood ration statistics for generalized linear models
improvedlikelihoodrationstatisticsgeneralized