Applied Linear Regression
By M. Malik. Technometrics, 2005
2,085 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2a67650232639a4075a9d77c19f6d4c47b4a411e
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In Statistics and Probability
- Francis R. Bach
- Robert Tibshirani
- Larry A. Wasserman
- Julien Mairal
- Nicolai Meinshausen
- Peter Buhlmann
- Cun-Hui Zhang
- Martin J. Wainwright
Citations in the corpus
- Climate, competition and connectivity affect future migration and ranges of European trees (2012, methodology): “Model fit was evaluated for current distributions by the adjusted D(2) (Weisberg, 1980), a measure that adjusts the deviance explained (D(2)) by the number of fitted regression parameters and the number of observations.”
- Age Synthesis and Estimation via Faces: A Survey (2010, background): “If the face images of all ages are available for an individual, the corresponding aging pattern is called a complete aging pattern; otherwise, it is called an incomplete aging pattern.”
- Significance analysis of time course microarray experiments. (2005, background): “00024 up IFITM1 interferon induced transmembrane protein 1 (9-27)”
- Non-local sparse models for image restoration (2009, background): “(2) with p = 0 is NP hard, leading to approximate solutions obtained with a greedy algorithm such as forward selection [30] (also known as orthogonal matching pursuit [18]).”
- Assumptions of multiple regression: Correcting two misconceptions (2013, positive): “, heteroscedasticity is present), ordinary least squares estimates will be unbiased and consistent as long as the errors are independent, but will not be efficient (Weisberg, 2005).”
- Using heteroskedasticity-consistent standard error estimators in OLS regression: An introduction and software implementation (2007, background): “However, we remind the reader that heteroskedasticity is more than a nuisance; it may itself have substantively important interpretations (Berry, 1993; Carroll, 2003; Downs & Rocke, 1979; Olejnik, 1988; Weisberg, 1980).”
- So Many Variables: Joint Modeling in Community Ecology. (2015, background): “The statistical term for such failures is ‘misspecification’ of the mean model [66].”
- Nitrogen pools and C:N ratios in well-drained Nordic forest soils related to climate and soil texture (2007, neutral): “…(°C) and MAP (mm y–1) as continuous variables, interacting with soil texture class: log Npool = αtexture + βMAT + βtexture ¥ MAT + βlog MAP + βtexture ¥ log MAP + ei (2) The F-test for βtexture ¥ MAT and βtexture ¥ log MAP indicate if the slope with climate depends on texture class (Weisberg 1985).”
- All of Statistics: A Concise Course in Statistical Inference (2004, methodology): “Thorough treatments of undirected graphs can be found in Whittaker (1990) and Lauritzen (1996).”
- Simulation Studies of Multi-armed Bandits with Covariates (Invited Paper) (2008, methodology): “Small values of λ favour exploration, whereas for λ = 0.5 the interval estimation method is equivalent to the greedy method.”
- The Estimation of Leverage Effect With High-Frequency Data (2014, positive): “The third column gives the collinearity diagnostic by variance inflation factors (vif) (see, e.g., Weisberg 2004).”
- Explainable AI: A Review of Machine Learning Interpretability Methods (2020, background): “produce explainable results—with common examples, including linear [11] and decisiontree based [12] models.”