query: Non-parametric regression
positive_passages.docid: 153669
positive_passages.text: Conditional expectation of a bivariate normal distribution
negative_passages.docid: 110461
negative_passages.text: Fitting data without an equation
negative_passages.docid: 98625
negative_passages.text: theoretical basis for logistic regression
negative_passages.docid: 132799
negative_passages.text: Constrained Regression in R: coefficients positive, sum to 1 and non-zero intercept
negative_passages.docid: 9757
negative_passages.text: Logistic regression with binary dependent and independent variables
negative_passages.docid: 52136
negative_passages.text: Linear regression with Laplace errors
negative_passages.docid: 153314
negative_passages.text: Multiple Regression, Normal distribution and Normalization
negative_passages.docid: 33823
negative_passages.text: Forcing smoothness of regression coefficients
negative_passages.docid: 10379
negative_passages.text: Why would parametric statistics ever be preferred over nonparametric?
negative_passages.docid: 29645
negative_passages.text: Regression when the OLS residuals are not normally distributed
negative_passages.docid: 44176
negative_passages.text: Deep Learning for Regression
negative_passages.docid: 20900
negative_passages.text: Regression without intercept: deriving $\hat{\beta}_1$ in least squares (no matrices)
negative_passages.docid: 156166
negative_passages.text: PCA of non-Gaussian data
negative_passages.docid: 104236
negative_passages.text: Factor analysis and regression
negative_passages.docid: 126797
negative_passages.text: Elasticity of log-log regression
negative_passages.docid: 85497
negative_passages.text: Parametric vs non-parametric machine learning methods
negative_passages.docid: 953
negative_passages.text: Regression: Transforming Variables