query: Bell-curve shape regression
positive_passages.docid: 22236
positive_passages.text: Is least squares the standard method to fit a 3 parameters Gaussian function to some x and y data?
negative_passages.docid: 113046
negative_passages.text: Coefficients and significance of lasso/ridge
negative_passages.docid: 116608
negative_passages.text: Finding a polynomial fit to a set of data
negative_passages.docid: 85976
negative_passages.text: Implementing linear regression with standardization
negative_passages.docid: 122013
negative_passages.text: Conditional distribution of geometric variables
negative_passages.docid: 92434
negative_passages.text: Hat matrix and leverages in classical multiple regression
negative_passages.docid: 75701
negative_passages.text: Understanding linear regression
negative_passages.docid: 110323
negative_passages.text: bounded predictor variable modeling constraint
negative_passages.docid: 157171
negative_passages.text: Gauss circle problem : a simple asymptotic estimation.
negative_passages.docid: 9654
negative_passages.text: Shape of confidence interval for predicted values in linear regression
negative_passages.docid: 36891
negative_passages.text: Properties of logistic regressions
negative_passages.docid: 127861
negative_passages.text: Finding Local Minima / Maxima in Noisy Data
negative_passages.docid: 124337
negative_passages.text: Degrees of freedom in regression
negative_passages.docid: 953
negative_passages.text: Regression: Transforming Variables
negative_passages.docid: 23640
negative_passages.text: Theory behind partial least squares regression
negative_passages.docid: 114666
negative_passages.text: Plotting bell shaped curve in TikZ-PGF
negative_passages.docid: 11427
negative_passages.text: Using regularization when doing statistical inference