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We propose the use of the probability integral transform (PIT) for model validation in point process models. The simple PIT diagnostics assess the calibration of the model and can detect inconsistenci...
Multivariate Regression with Calibration     Multivariate Regression  Calibration       font style='font-size:12px;'> 2013/6/14
We propose a new method named calibrated multivariate regression (CMR) for fitting high dimensional multivariate regression models. Compared to existing methods, CMR calibrates the regularization for ...
Weather forecasting is mostly based on the outputs of deterministic numerical weather forecasting models. Multiple runs of these models with different initial conditions result in forecast ensembles w...
Fast dimension-reduced climate model calibration     Fast  dimension-reduced climate model  calibration       font style='font-size:12px;'> 2013/4/27
What is the response of the climate system to anthropogenic forcings? This question is addressed typically using projections from climate models. The uncertainty surrounding current climate projection...
Computer codes are widely used to describe physical processes in lieu of physical observations.In some cases, more than one computer simulator, each with di erent degrees of delity, can be used to ex...
Re-calibration of sample means     Re-calibration  sample means       font style='font-size:12px;'> 2011/7/6
We consider the problem of calibration and the GREG method as suggested and studied in Deville and Sarndal (1992). We show that a GREG type estimator is typically not minimal variance unbiased estimat...
We examine a general multi-factor model for commodity spot prices and futures valuation. We extend the multi-factor long-short model in [1] and [2] in two important aspects: firstly we allow for both...
While considerable advance has been made to account for statistical uncertainties in astronomical analyses, systematic instrumental uncertainties have been generally ignored. This can be crucial to a ...
A method for estimating the axis of reflectional symmetry of an image $f(x,y)$ on the unit disc $D=\{(x,y):x^2+y^2\leq1\}$ is proposed, given that noisy data of $f(x,y)$ are observed on a discrete gri...
On calibration of design weights      Calibration  Linear regression estimator  GREG  Estimation of total andvariance       font style='font-size:12px;'> 2010/3/18
In the present investigation, we build a bridge between the generalized regression (GREG) estimator due to Deville and Sarndal (1992) and the linear regression estimator due to Hansen, Hurwitz and M...
Estimating radiocarbon calibration curves     radiocarbon calibration curves  archaeological chronologies       font style='font-size:12px;'> 2009/9/22
In addition to being crucial to the establishment of archaeological chronologies, radiocarbon datingis vitaltotheestablishmentof timelines for many Holocene and late Pleistocene palaeoclimatic stud...
In this contribution to the discussion of Th case for objective Bayesian analysis by James Berger and Sujective Bayesian analysis: princi- ples and practice by Michael Goldstein, I argue that (a) al...
The process of calibrating radiocarbon determinations onto the cal- endar scale involves, as a rst stage, the estimation of the relationship between calendar and radiocarbon ages (the radiocarbon ca...
Reference Analysis for the p-Dimensional Linear Calibration Problem。
The problem of estimation in multivariate linear calibration with multivariate response and explanatory variables is considered. In this calibration problem two estimators are well-known; one is the c...

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