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Bayesian Nonparametric Spectral Estimation

Bayesian Nonparametric Spectral Estimation

6 September 2018
Felipe A. Tobar
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Papers citing "Bayesian Nonparametric Spectral Estimation"

14 / 14 papers shown
Title
Gaussian process deconvolution
Gaussian process deconvolution
Felipe A. Tobar
Arnaud Robert
Jorge F. Silva
33
5
0
08 May 2023
Online Probabilistic Model Identification using Adaptive Recursive MCMC
Online Probabilistic Model Identification using Adaptive Recursive MCMC
Pedram Agand
Mo Chen
H. Taghirad
38
4
0
23 Oct 2022
Computationally-efficient initialisation of GPs: The generalised
  variogram method
Computationally-efficient initialisation of GPs: The generalised variogram method
Felipe A. Tobar
Elsa Cazelles
T. Wolff
19
0
0
11 Oct 2022
Nonstationary multi-output Gaussian processes via harmonizable spectral
  mixtures
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures
Matias Altamirano
Felipe A. Tobar
9
4
0
18 Feb 2022
Marginalising over Stationary Kernels with Bayesian Quadrature
Marginalising over Stationary Kernels with Bayesian Quadrature
Saad Hamid
Sebastian Schulze
Michael A. Osborne
Stephen J. Roberts
GP
14
4
0
14 Jun 2021
Bayesian Reconstruction of Fourier Pairs
Bayesian Reconstruction of Fourier Pairs
Felipe A. Tobar
Lerko Araya-Hernández
P. Huijse
Petar M. Djurić
20
5
0
09 Nov 2020
Gaussian process imputation of multiple financial series
Gaussian process imputation of multiple financial series
T. Wolff
Alejandro Cuevas
Felipe A. Tobar
AI4TS
22
8
0
11 Feb 2020
MOGPTK: The Multi-Output Gaussian Process Toolkit
MOGPTK: The Multi-Output Gaussian Process Toolkit
T. Wolff
Alejandro Cuevas
Felipe A. Tobar
GP
6
45
0
09 Feb 2020
The Wasserstein-Fourier Distance for Stationary Time Series
The Wasserstein-Fourier Distance for Stationary Time Series
Elsa Cazelles
Arnaud Robert
Felipe A. Tobar
AI4TS
23
34
0
11 Dec 2019
Function-Space Distributions over Kernels
Function-Space Distributions over Kernels
Gregory W. Benton
Wesley J. Maddox
Jayson Salkey
J. Albinati
A. Wilson
BDL
GP
8
26
0
29 Oct 2019
Band-Limited Gaussian Processes: The Sinc Kernel
Band-Limited Gaussian Processes: The Sinc Kernel
Felipe A. Tobar
14
18
0
16 Sep 2019
Compositionally-Warped Gaussian Processes
Compositionally-Warped Gaussian Processes
Gonzalo Rios
Felipe A. Tobar
14
41
0
23 Jun 2019
Learning spectrograms with convolutional spectral kernels
Learning spectrograms with convolutional spectral kernels
Zheyan Shen
Markus Heinonen
Samuel Kaski
17
9
0
23 May 2019
Low-pass filtering as Bayesian inference
Low-pass filtering as Bayesian inference
Cristobal Valenzuela
Felipe A. Tobar
AI4TS
14
2
0
09 Feb 2019
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