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Gillis Homebred Heads Grassroots Group Off To London

Elises Delight is one of 45 sophomore pacing fillies heading to southern Ontario on Friday, May 26 to compete for $132,000 in six Ontario Sires Stakes Grassroots divisions at The Raceway at the Western Fair District. ....

New York , United States , City Of , United Kingdom , Tyler Borth , John Pentland , Ellen Ott , Trevor Henry , Chantal Mitchell , James Macdonald , Carol Nichol , Doug Mcnair , Jeff Gillis , Gregg Mcnair , Decision Theory Inc , Elises Delight , Ontario Sires Stakes Grassroots , Western Fair , Sired Spring Series , Woodbine Mohawk Park , Buffalo New , Bettors Delight , Shes Beachy , Downtown Bus , Mach Three , Dover Downs ,

Elises Delight, Chedda Chedda Step Up In Spring Series

After both finished runner-up in the opening round of the Ontario-Sired Spring Series, Elises Delight and Chedda Chedda landed winning blows in their respective $18,000 divisions for three-year-old pacing fillies on Thursday night (April 13) at Woodbine Mohawk Park. ....

Claude Hamel , Benoit Baillargeon , James Macdonald , Louis Philippe Roy , Jeff Gillis , Santo Vena , Nunzio Vena , Lady Jess , Ellen Ott , Chantal Mitchell , Southwind Chardnay , Decision Theory Inc , Ontario Sired Spring Series , Elises Delight , Woodbine Mohawk , Mist Amber , Sweetest Belle , Bettors Delight , Tesla Power , Decision Theory , Sired Spring Series , Alarm Detector , Muscling Vegas , Match Meif You Can , Thursday Results ,

"Optimal Spatial Prediction for Non-negative Spatial Processes Using a " by Noel Cressie, Alan R. Pearse et al.

A major component of inference in spatial statistics is that of spatial prediction of an unknown value from an underlying spatial process, based on noisy measurements of the process taken at various locations in a spatial domain. The most commonly used predictor is the conditional expectation of the unknown value given the data, and its calculation is obtained from assumptions about the probability distribution of the process and the measurements of that process. The conditional expectation is unbiased and minimises the mean-squared prediction error, which can be interpreted as the unconditional risk based on the squared-error loss function. Cressie [4, p. 108] generalised this approach to other loss functions, to obtain spatial predictors that are optimal (i.e., that minimise the unconditional risk) but not necessarily unbiased. This chapter is concerned with spatial prediction of processes that take non-negative values, for which there is a class of loss functions obtained by adaptin ....

Meuse River , Decision Theory , Loss Function , Ower Divergence Measure , Nconditional Risk ,

Your Letters - Dec. 15, 2022

Invasion of nastiness threatens Ojai future ....

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