regression

  1. Methods / approach to improve the predictive accuracy of a logistic regression model

  2. How do I deal with imperfect detection of a covariate in Bayesian Binomial Regression?
  3. Line of best fit does not look like a good fit. Why?

  4. Coefficients from Logistic Regression using Scikit-Learn

  5. Arguments to sklearn.feature_selection.rfe.fit

  6. Predict lower and upper bounds for some total value

  7. Can $R^2$ be greater than 1?
  8. How can I understand influence of individual observations on an aggregated total?
  9. What is going on the background of Decision Trees?
  10. How is the cost function from Logistic Regression derivated

  11. Understanding 'predictor' residual plots in multiple regression
  12. data pre-processing or normalization procedure for input values including very small elements

  13. Random Forest- change in model performance due to same values in one of the independent

  14. ordinal or linear regression? how to analyse my data?
  15. Computing Bayesian Credible Intervals for Bayesian Regression

  16. Non-constant overdispersion (overdispersion parameter depending on covariate) in negative binomial regression
  17. What is the so-called "variance" of error?
  18. Dimensionality reduction for different input data

  19. Do I have to log10 transform my predictor or not?

  20. What is the added benefit of conducting a "multivariate multiple regression" over several "multiple regressions"?

  21. McFadden Pseudo R² in averaged model
  22. is scaling data [0,1] necessary when batch normalization is used?

  23. binary logistic regression with large sample size

  24. Logistic Regression on Time Series Data

  25. Non-linear least squares asymptotic distribution
  26. Fitting LPPL model using R
  27. More predictors than observations?

  28. How to avoid collinearity of categorical variables in logistic regression?
  29. Intercept equals 1 in PLS regression
  30. why is constant important in machine learning - linear regression?
  31. How to use fitdist() result in a lm?
  32. Estimating parameters from a non-linear model with uncertainties in both X and Y, plus multicollinearity

  33. Logistic regression model - software defect prediction

  34. How to estimate the coefficients of different seasonal effects?
  35. linear regression is part of PCA but also an extention to it...(Truth or Bluff)

  36. Should I Use an Interaction Term between Immigrant-Native Ratio and the Education group dummies?
  37. Principal Components for dependent variable in a regression
  38. What is meant by "let $X_2$ and $v$ be the residuals obtained from regressing $X_3$ on $X_1$"?

  39. Regression with percentage dependent, log and linear independent
  40. Logistical Regression: Expected low p-value for one independent vaiable
  41. Regression model?
  42. How to do 4-parametric regression for ELISA data in R

  43. Advice needed for generating synthetic valence-arousal annotations?
  44. how to prevent overfitting for inference models
  45. Truncated power basis function and continuity in b-splines

  46. Econometric regression project idea?
  47. Independent Variable is a proportion of Dependent Variable

  48. Sum of Squares due to regression (ANOVA)
  49. ROC curve and Logistic Regression

  50. What type of variable is this and what type of statistical test?
  51. What statistical test to use for two quantitative IVs over time?

  52. Lift Charts in R error The y variable must be a two-level factor

  53. Running logistic Regression in SPSS

  54. Whether to convert Categorical value in Logistic Regrssion
  55. Probabilistic interpretation of Thin Plate Smoothing Splines
  56. Trimming data for a RandomForest
  57. How to perform mean differences in Linear Probability Model in Stata

  58. How can a perceptron be used for regression?

  59. How to penalize a regression loss function to account for correctness on the sign of the prediction?
  60. What is the relationship between Cox regression and Tobit regression?

  61. Error of a fit by a non-linear function
  62. Exploratory analysis to inform regression process

  63. Regression with a ratio as an independent variable

  64. What are ways to prevent regression to the mean in random forest regression?

  65. Difference between recursive feature elimination and stepwise regression

  66. Logistic Regression Models Without Main Effects?
  67. Constant/coefficient order and naming in regression functions

  68. How to fairly compare a model vs. averages at discrete points
  69. Correlation/regression on percentages from two binary variables between three groups?
  70. How to generate data that have given conditional mean and conditional quantile using R?

  71. How to check if the effect from independent variable is changing over time?

  72. Under the Assumptions of the Simple Linear Regression Model, Why Is This Term a Chi-Square Random Variable with $n - 2$ Degrees of Freedom?
  73. Deviance vs Gini coefficient in GLM

  74. What is functional form of the restricted model when linear combination of coefficients not equal 0?

  75. interpretation of betareg coef

  76. Report of logistic regression (SPSS)

  77. How to find residuals and plot them

  78. Repeated Measures Design for Multiple Linear Regression in R
  79. Multiple logistic regression with a categorical response value and categorical predictors

  80. What do the $L_1$ and $L_2$ mean when referring to regularization?

  81. An application of AIC for non-linear models comparison
  82. ordinal logistic regression - sample size no power info

  83. What are LS means useful for?
  84. How to calculate WOE (weight of evidence) for single class bins?
  85. How to separate overlapping curves more effectively?

  86. Explained variance in logistic regression based on regression coefficients

  87. Regression to check predictivity of mutation position on phenotype
  88. Drawbacks of Lasso-lars combined with recursive feature elimination
  89. ERROR: liner regression using gradient descent from SCRATCH

  90. Interpreting interaction effect between two dummy variables

  91. What are appropriate post-hoc tests for a negative binomial regression to explore pairwise differences in R?
  92. Least squares regression with variance-covariance matrix of observations

  93. Improving Panel Data Model for Advertising Evaluation
  94. MANCOVA or Multivariate Regression (Please help!)

  95. Strong pattern on residual plot (simple linear regression in R)
  96. Linear Model With Iris Dataset

  97. Adequate prior for execution times

  98. Neural Net what is an impact of different training and testing data distribution?

  99. Goodness of fit for logistic regression and difference in validation when bootstrapping

  100. Modeling beta distributed data using glmmTBM