- Estimator Selection: a New Method with Applications to Kernel Density Estimation
2016/07/31 by Claire Lacour, Pascal Massart, Vincent Rivoirard · 1 citation
Computer Science · Engineering · Mathematics · #Artificial intelligence #Bayesian Methods and Mixture Models #Computer science #Engineering #Estimation #Estimator #Gaussian Processes and Bayesian Inference #Kernel (algebra) #Kernel density estimation #Kernel method #Mathematics #Multivariate kernel density estimation #Selection (genetic algorithm) #Statistical Methods and Inference #Statistics #Support vector machine #Variable kernel density estimation #math.ST #stat.TH
- Canonical higher-order kernels for density derivative estimation
2012/03/20 by Daniel J. Henderson, Christopher F. Parmeter · 1 citation
Computer Science · Mathematics · #Applied mathematics #Artificial intelligence #Bayesian Methods and Mixture Models #Combinatorics #Computer science #Density estimation #Derivative (finance) #Estimator #Gaussian Processes and Bayesian Inference #Kernel (algebra) #Kernel density estimation #Kernel embedding of distributions #Kernel method #Kernel principal component analysis #Mathematics #Multivariate kernel density estimation #Statistical Methods and Inference #Statistics #Variable kernel density estimation
- Remarks on Some Nonparametric Estimates of a Density Function
1956/09/01 by Murray Rosenblatt · 229 citations
Computer Science · Mathematics · #Advanced Statistical Methods and Models #Applied mathematics #Bayesian Methods and Mixture Models #Class (philosophy) #Computer science #Density estimation #Econometrics #Estimator #Function (biology) #Mathematics #Multivariate kernel density estimation #Multivariate statistics #Nonparametric statistics #Probability density function #Statistical Methods and Inference #Statistics #Univariate