Daniel Gervini, Theo Gasser, Nonparametric Maximum Likelihood Estimation of the Structural Mean of a Sample of Curves, Biometrika, Vol. 92, No. 4 (Dec., 2005), pp. 801-820 ...

The log likelihood function can only be evaluated for , c > 0, and . In the estimation process, you must enforce these conditions using lower and upper boundary constraints. The three-parameter ...

The challenge of using small sample sizes for operational risk capital models fitted via maximum likelihood estimation is well recognized, yet the literature generally provides warning examples rather ...

Applications Our method can be used to train implicit probabilistic models (a common example being the generator in GANs). Unlike GANs, however, our method does not suffer from mode collapse/dropping ...

Tingjin Chu, Jun Zhu, Haonan Wang, PENALIZED MAXIMUM LIKELIHOOD ESTIMATION AND VARIABLE SELECTION IN GEOSTATISTICS, The Annals of Statistics, Vol. 39, No. 5 (October 2011), pp. 2607-2625 ...

Bayesian Estimation and Maximum Likelihood Methods Publication Trend The graph below shows the total number of publications each year in Bayesian Estimation and Maximum Likelihood Methods.