Publication date
January 1970
DOIAbstract
PhDMathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/186413/2/7115166.pd
PhDMathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/186413/2/7115166.pd
<p>Polynomial regression results of measured parameters as function of overwintering time.</p
Part 9: Pattern RecognitionInternational audienceThis article describes a Bayesian-based method for ...
Data-analytic approaches to regression problems, arising from many scientific disciplines are descri...
Ph.D.MathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
This article presents a comparison of four methods to compute the posterior probabilities of the pos...
AbstractThis paper presents a Bayesian approach to empirical regression modeling in which the respon...
PhDMathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.li...
217 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1976.U of I OnlyRestricted to the ...
PhDBiostatisticsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
Recent developments in the fields of scientific computation and Machine Learning (ML) techniques hav...
This article describes a Bayesian-based method for solving curve fitting problems. We extend the bas...
SIGLEAvailable from TIB Hannover: RR 8460(2003,3) / FIZ - Fachinformationszzentrum Karlsruhe / TIB -...
Piecewise polynomial regression model is very flexible model for modeling the data. If the piecewise...
In this paper, the polynomial approximation of distributed lags is investigated within the framework...
This paper discusses a Bayesian approach to nonparametric regression initially proposed by Smith and...
<p>Polynomial regression results of measured parameters as function of overwintering time.</p
Part 9: Pattern RecognitionInternational audienceThis article describes a Bayesian-based method for ...
Data-analytic approaches to regression problems, arising from many scientific disciplines are descri...
Ph.D.MathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
This article presents a comparison of four methods to compute the posterior probabilities of the pos...
AbstractThis paper presents a Bayesian approach to empirical regression modeling in which the respon...
PhDMathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.li...
217 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1976.U of I OnlyRestricted to the ...
PhDBiostatisticsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
Recent developments in the fields of scientific computation and Machine Learning (ML) techniques hav...
This article describes a Bayesian-based method for solving curve fitting problems. We extend the bas...
SIGLEAvailable from TIB Hannover: RR 8460(2003,3) / FIZ - Fachinformationszzentrum Karlsruhe / TIB -...
Piecewise polynomial regression model is very flexible model for modeling the data. If the piecewise...
In this paper, the polynomial approximation of distributed lags is investigated within the framework...
This paper discusses a Bayesian approach to nonparametric regression initially proposed by Smith and...
<p>Polynomial regression results of measured parameters as function of overwintering time.</p
Part 9: Pattern RecognitionInternational audienceThis article describes a Bayesian-based method for ...
Data-analytic approaches to regression problems, arising from many scientific disciplines are descri...
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