Gaussian process modeling of derivative curves

Technometrics

Volumn 55, Issue 1, 2013, Pages 57-67

  Holsclaw, Tracy ^a   Sansó, Bruno ^a   Lee, Herbert K H ^a   Heitmann, Katrin ^b   Habib, Salman ^b   Higdon, David ^c   Alam, Ujjaini ^c  

^a University of California Santa Cruz   (United States)

^b ARGONNE NATIONAL LABORATORY   (United States)

^c LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Bayesian statistics; Cosmology; Dark energy equation of state; Stochastic process models

Indexed keywords

ALTERNATIVE METHODS; BAYESIAN STATISTICS; COMPUTATIONALLY EFFICIENT; CORRELATION FUNCTION; DARK ENERGY EQUATION; DERIVATIVE PROCESS; NONPARAMETRIC METHODS; STOCHASTIC PROCESS MODEL;

COSMOLOGY; EQUATIONS OF STATE; GAUSSIAN DISTRIBUTION; INVERSE PROBLEMS; RANDOM PROCESSES; STRUCTURAL ANALYSIS;

GAUSSIAN NOISE (ELECTRONIC);

EID: 84879397486     PISSN: 00401706     EISSN: 15372723     Source Type: Journal    
DOI: 10.1080/00401706.2012.723918     Document Type: Article

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