-
6
-
-
67649332780
-
Perfect simulation for wavelet thresholding with correlated coefficients
-
Technical Report 04:01, Department of Mathematics, University of Bristol
-
Ambler, G.K., Silverman, B.W. (2004b). Perfect simulation for wavelet thresholding with correlated coefficients. Technical Report 04:01, Department of Mathematics, University of Bristol
-
(2004)
-
-
Ambler, G.K.1
Silverman, B.W.2
-
7
-
-
3042709667
-
Empirical Bayes approach to wavelet regression using ε-contaminated priors
-
Angelini C., and Sapatinas T. Empirical Bayes approach to wavelet regression using ε-contaminated priors. J. Statist. Comput. Simulation 74 (2004) 741-764
-
(2004)
J. Statist. Comput. Simulation
, vol.74
, pp. 741-764
-
-
Angelini, C.1
Sapatinas, T.2
-
8
-
-
1842487344
-
Γ-Minimax wavelet shrinkage: A robust incorporation of information about energy of a signal in denoising applications
-
Angelini C., and Vidakovic B. Γ-Minimax wavelet shrinkage: A robust incorporation of information about energy of a signal in denoising applications. Statistica Sinica 14 (2004) 103-125
-
(2004)
Statistica Sinica
, vol.14
, pp. 103-125
-
-
Angelini, C.1
Vidakovic, B.2
-
9
-
-
1542469448
-
Bayesian wavelet regression on curves with application to a spectroscopic calibration problem
-
Brown P.J., Fearn T., and Vannucci M. Bayesian wavelet regression on curves with application to a spectroscopic calibration problem. J. Amer. Statist. Assoc. 96 (2001) 398-408
-
(2001)
J. Amer. Statist. Assoc.
, vol.96
, pp. 398-408
-
-
Brown, P.J.1
Fearn, T.2
Vannucci, M.3
-
10
-
-
0000506629
-
Bayesian model choice via Markov chain Monte Carlo
-
Carlin B., and Chib S. Bayesian model choice via Markov chain Monte Carlo. J. Roy. Statist. Soc., Ser. B 57 (1995) 473-484
-
(1995)
J. Roy. Statist. Soc., Ser. B
, vol.57
, pp. 473-484
-
-
Carlin, B.1
Chib, S.2
-
11
-
-
0032022704
-
Nonlinear wavelet image processing: Variational problems, compression and noise removal through wavelet shrinkage
-
Chambolle A., DeVore R.A., Lee N.-Y., and Lucier B.J. Nonlinear wavelet image processing: Variational problems, compression and noise removal through wavelet shrinkage. IEEE Trans. Image Processing 7 (1998) 319-335
-
(1998)
IEEE Trans. Image Processing
, vol.7
, pp. 319-335
-
-
Chambolle, A.1
DeVore, R.A.2
Lee, N.-Y.3
Lucier, B.J.4
-
12
-
-
0037189969
-
Wavelet estimation of a baseline signal from repeated noisy measurements by vertical block shrinkage
-
Chang W., and Vidakovic B. Wavelet estimation of a baseline signal from repeated noisy measurements by vertical block shrinkage. Comput. Statist. Data Anal. 40 (2002) 317-328
-
(2002)
Comput. Statist. Data Anal.
, vol.40
, pp. 317-328
-
-
Chang, W.1
Vidakovic, B.2
-
13
-
-
0001215143
-
Evaluation of an unknown distribution density from observations
-
Chencov N.N. Evaluation of an unknown distribution density from observations. Doklady 3 (1962) 1559-1562
-
(1962)
Doklady
, vol.3
, pp. 1559-1562
-
-
Chencov, N.N.1
-
15
-
-
0001477056
-
Empirical Bayes estimation in wavelet nonparametric regression
-
Bayesian Inference in Wavelet Based Models. Müller P., and Vidakovic B. (Eds), Springer-Verlag, New York
-
Clyde M., and George E. Empirical Bayes estimation in wavelet nonparametric regression. In: Müller P., and Vidakovic B. (Eds). Bayesian Inference in Wavelet Based Models. Lecture Notes in Statistics vol. 141 (1999), Springer-Verlag, New York 309-322
-
(1999)
Lecture Notes in Statistics
, vol.141
, pp. 309-322
-
-
Clyde, M.1
George, E.2
-
16
-
-
0034354040
-
Flexible empirical Bayes estimation for wavelets
-
Clyde M., and George E. Flexible empirical Bayes estimation for wavelets. J. Roy. Statist. Soc., Ser. B 62 (2000) 681-698
-
(2000)
J. Roy. Statist. Soc., Ser. B
, vol.62
, pp. 681-698
-
-
Clyde, M.1
George, E.2
-
18
-
-
0001682758
-
Multiple shrinkage and subset selection in wavelets
-
Clyde M., Parmigiani G., and Vidakovic B. Multiple shrinkage and subset selection in wavelets. Biometrika 85 (1998) 391-402
-
(1998)
Biometrika
, vol.85
, pp. 391-402
-
-
Clyde, M.1
Parmigiani, G.2
Vidakovic, B.3
-
19
-
-
33747727601
-
Wavelet-based statistical signal processing using hidden Markov models
-
Crouse M., Nowak R., and Baraniuk R. Wavelet-based statistical signal processing using hidden Markov models. IEEE Trans. Signal Processing 46 (1998) 886-902
-
(1998)
IEEE Trans. Signal Processing
, vol.46
, pp. 886-902
-
-
Crouse, M.1
Nowak, R.2
Baraniuk, R.3
-
21
-
-
3042672591
-
Wavelet Bayesian block shrinkage via mixtures of normal-inverse gamma priors
-
De Canditiis D., and Vidakovic B. Wavelet Bayesian block shrinkage via mixtures of normal-inverse gamma priors. J. Comput. Graph. Statist. 13 (2004) 383-398
-
(2004)
J. Comput. Graph. Statist.
, vol.13
, pp. 383-398
-
-
De Canditiis, D.1
Vidakovic, B.2
-
22
-
-
0041958932
-
Ideal spatial adaptation by wavelet shrinkage
-
Donoho D., and Johnstone I. Ideal spatial adaptation by wavelet shrinkage. Biometrika 81 (1994) 425-455
-
(1994)
Biometrika
, vol.81
, pp. 425-455
-
-
Donoho, D.1
Johnstone, I.2
-
23
-
-
84950459514
-
Adapting to unknown smoothness via wavelet shrinkage
-
Donoho D., and Johnstone I. Adapting to unknown smoothness via wavelet shrinkage. J. Amer. Statist. Assoc. 90 (1995) 1200-1224
-
(1995)
J. Amer. Statist. Assoc.
, vol.90
, pp. 1200-1224
-
-
Donoho, D.1
Johnstone, I.2
-
25
-
-
7044276339
-
A comparative evaluation of wavelet-based methods for hypothesis testing of brain activation maps
-
Fadili M.J., and Bullmore E.T. A comparative evaluation of wavelet-based methods for hypothesis testing of brain activation maps. NeuroImage 23 (2004) 1112-1128
-
(2004)
NeuroImage
, vol.23
, pp. 1112-1128
-
-
Fadili, M.J.1
Bullmore, E.T.2
-
26
-
-
0035442514
-
Wavelet-based image estimation: An empirical Bayes approach using Jeffreys' noninformative prior
-
Figueiredo M., and Nowak R. Wavelet-based image estimation: An empirical Bayes approach using Jeffreys' noninformative prior. IEEE Trans. Image Processing 10 (2001) 1322-1331
-
(2001)
IEEE Trans. Image Processing
, vol.10
, pp. 1322-1331
-
-
Figueiredo, M.1
Nowak, R.2
-
27
-
-
0031526204
-
Approaches to Bayesian variable selection
-
George E.I., and McCulloch R. Approaches to Bayesian variable selection. Statistica Sinica 7 (1997) 339-373
-
(1997)
Statistica Sinica
, vol.7
, pp. 339-373
-
-
George, E.I.1
McCulloch, R.2
-
28
-
-
0001249413
-
Formulae for the mean integrated square error of non-linear wavelet based density estimators
-
Hall P., and Patil P. Formulae for the mean integrated square error of non-linear wavelet based density estimators. Ann. Statist. 23 (1995) 905-928
-
(1995)
Ann. Statist.
, vol.23
, pp. 905-928
-
-
Hall, P.1
Patil, P.2
-
29
-
-
67649351571
-
Empirical Bayesian spatial prediction using wavelets
-
Bayesian Inference in Wavelet Based Models. Müller P., and Vidakovic B. (Eds), Springer-Verlag, New York
-
Huang H.-C., and Cressie N. Empirical Bayesian spatial prediction using wavelets. In: Müller P., and Vidakovic B. (Eds). Bayesian Inference in Wavelet Based Models. Lecture Notes in Statistics vol. 141 (1999), Springer-Verlag, New York 203-222
-
(1999)
Lecture Notes in Statistics
, vol.141
, pp. 203-222
-
-
Huang, H.-C.1
Cressie, N.2
-
30
-
-
0034247954
-
Deterministic/stochastic wavelet decomposition for recovery of signal from noisy data
-
(Matlab code is available from the Wavelet Denoising software written by Antoniadis, Bigot, and Sapatinas, 2001)
-
Huang H.-C., and Cressie N. Deterministic/stochastic wavelet decomposition for recovery of signal from noisy data. Technometrics 42 (2000) 262-276 (Matlab code is available from the Wavelet Denoising software written by Antoniadis, Bigot, and Sapatinas, 2001)
-
(2000)
Technometrics
, vol.42
, pp. 262-276
-
-
Huang, H.-C.1
Cressie, N.2
-
31
-
-
0034551941
-
Bayesian wavelet shrinkage for nonparametric mixed-effects models
-
Huang S.Y., and Lu H.S. Bayesian wavelet shrinkage for nonparametric mixed-effects models. Statistica Sinica 10 (2000) 1021-1040
-
(2000)
Statistica Sinica
, vol.10
, pp. 1021-1040
-
-
Huang, S.Y.1
Lu, H.S.2
-
32
-
-
0034406376
-
Wavelet estimation using Bayesian basis selection and basis averaging
-
Kohn R., Marron J.S., and Yau P. Wavelet estimation using Bayesian basis selection and basis averaging. Statistica Sinica 10 (2000) 109-128
-
(2000)
Statistica Sinica
, vol.10
, pp. 109-128
-
-
Kohn, R.1
Marron, J.S.2
Yau, P.3
-
33
-
-
1542427727
-
Bayesian multi-scale models for Poisson processes
-
Kolaczyk E.D. Bayesian multi-scale models for Poisson processes. J. Amer. Statist. Assoc. 94 (1999) 920-933
-
(1999)
J. Amer. Statist. Assoc.
, vol.94
, pp. 920-933
-
-
Kolaczyk, E.D.1
-
34
-
-
0342763788
-
Wavelet thresholding for a wide class of noise distributions
-
Rhodes, Greece, pp
-
Leporini, D., Pesquet, J.-C. (1998). Wavelet thresholding for a wide class of noise distributions. In: EUSIPCO'98, Rhodes, Greece, pp. 993-996
-
(1998)
EUSIPCO'98
, pp. 993-996
-
-
Leporini, D.1
Pesquet, J.-C.2
-
35
-
-
0034831995
-
Bayesian wavelet denoising: Besov priors and non-Gaussian noises
-
Leporini D., and Pesquet J.-C. Bayesian wavelet denoising: Besov priors and non-Gaussian noises. Signal Process. 81 (1999) 55-67
-
(1999)
Signal Process.
, vol.81
, pp. 55-67
-
-
Leporini, D.1
Pesquet, J.-C.2
-
36
-
-
0141554016
-
Best basis representations with prior statistical models
-
Bayesian Inference in Wavelet Based Models. Müller P., and Vidakovic B. (Eds), Springer-Verlag, New York
-
Leporini D., Pesquet J.-C., and Krim H. Best basis representations with prior statistical models. In: Müller P., and Vidakovic B. (Eds). Bayesian Inference in Wavelet Based Models. Lecture Notes in Statistics vol. 141 (1999), Springer-Verlag, New York 109-113
-
(1999)
Lecture Notes in Statistics
, vol.141
, pp. 109-113
-
-
Leporini, D.1
Pesquet, J.-C.2
Krim, H.3
-
37
-
-
0345135343
-
-
Lina, J-M., MacGibbon, B., (1997). Non-linear shrinkage estimation with complex Daubechies wavelets. In: Proceedings of SPIE, 3169. Wavelet Applications in Signal and Image Processing V, pp. 67-79
-
Lina, J-M., MacGibbon, B., (1997). Non-linear shrinkage estimation with complex Daubechies wavelets. In: Proceedings of SPIE, vol. 3169. Wavelet Applications in Signal and Image Processing V, pp. 67-79
-
-
-
-
38
-
-
0141872472
-
Generalized cross-validation for wavelet shrinkage in nonparametric mixed-effects models
-
Lu H.S., Huang S.Y., and Lin F.J. Generalized cross-validation for wavelet shrinkage in nonparametric mixed-effects models. J. Comput. Graph. Statist. 12 (2003) 714-730
-
(2003)
J. Comput. Graph. Statist.
, vol.12
, pp. 714-730
-
-
Lu, H.S.1
Huang, S.Y.2
Lin, F.J.3
-
39
-
-
0024700097
-
A theory for multiresolution signal decomposition: The wavelet representation
-
Mallat S. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Pattern Anal. Machine Intell. 11 (1989) 674-693
-
(1989)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.11
, pp. 674-693
-
-
Mallat, S.1
-
40
-
-
0242679450
-
Wavelet-based nonparametric modeling of hierarchical functions in colon carcinogenesis (with discussion)
-
Morris J.S., Vannucci M., Brown P.J., and Carroll R.J. Wavelet-based nonparametric modeling of hierarchical functions in colon carcinogenesis (with discussion). J. Amer. Statist. Assoc. 98 (2003) 573-597
-
(2003)
J. Amer. Statist. Assoc.
, vol.98
, pp. 573-597
-
-
Morris, J.S.1
Vannucci, M.2
Brown, P.J.3
Carroll, R.J.4
-
41
-
-
0032271927
-
Bayesian inference with wavelets: Density estimation
-
Müller P., and Vidakovic B. Bayesian inference with wavelets: Density estimation. J. Comput. Graph. Statist. 7 (1999) 456-468
-
(1999)
J. Comput. Graph. Statist.
, vol.7
, pp. 456-468
-
-
Müller, P.1
Vidakovic, B.2
-
42
-
-
4043166681
-
MCMC methods in wavelet shrinkage: Non-equally spaced regression, density and spectral density estimation
-
Bayesian Inference in Wavelet Based Models. Müller P., and Vidakovic B. (Eds), Springer-Verlag, New York
-
Müller P., and Vidakovic B. MCMC methods in wavelet shrinkage: Non-equally spaced regression, density and spectral density estimation. In: Müller P., and Vidakovic B. (Eds). Bayesian Inference in Wavelet Based Models. Lecture Notes in Statistics vol. 141 (1999), Springer-Verlag, New York 187-202
-
(1999)
Lecture Notes in Statistics
, vol.141
, pp. 187-202
-
-
Müller, P.1
Vidakovic, B.2
-
43
-
-
0004329796
-
-
Müller P., and Vidakovic B. (Eds), Springer-Verlag, New York
-
In: Müller P., and Vidakovic B. (Eds). Bayesian Inference in Wavelet Based Models. Lecture Notes in Statistics vol. 141 (1999), Springer-Verlag, New York
-
(1999)
Lecture Notes in Statistics
, vol.141
-
-
-
46
-
-
0040656311
-
Bayesian analysis of change-point models
-
Bayesian Inference in Wavelet Based Models. Müller P., and Vidakovic B. (Eds), Springer-Verlag, New York
-
Ogden R.T., and Lynch J.D. Bayesian analysis of change-point models. In: Müller P., and Vidakovic B. (Eds). Bayesian Inference in Wavelet Based Models. Lecture Notes in Statistics vol. 141 (1999), Springer-Verlag, New York 67-82
-
(1999)
Lecture Notes in Statistics
, vol.141
, pp. 67-82
-
-
Ogden, R.T.1
Lynch, J.D.2
-
47
-
-
67649345318
-
Frequentist optimality of Bayes factor thresholding estimators in wavelet regression models
-
Pensky, M., Sapatinas, T. (2004). Frequentist optimality of Bayes factor thresholding estimators in wavelet regression models. Technical Report at University of Cyprus
-
(2004)
Technical Report at University of Cyprus
-
-
Pensky, M.1
Sapatinas, T.2
-
48
-
-
0029766406
-
Bayesian approach to best basis selection
-
Pesquet J., Krim H., Leporini D., and Hamman E. Bayesian approach to best basis selection. IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 5 (1996) 2634-2637
-
(1996)
IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 5
, pp. 2634-2637
-
-
Pesquet, J.1
Krim, H.2
Leporini, D.3
Hamman, E.4
-
50
-
-
0000795635
-
Density estimation with confidence sets exemplified by superclusters and voids in the galaxies
-
Roeder K. Density estimation with confidence sets exemplified by superclusters and voids in the galaxies. J. Amer. Statist. Assoc. 85 (1990) 617-624
-
(1990)
J. Amer. Statist. Assoc.
, vol.85
, pp. 617-624
-
-
Roeder, K.1
-
51
-
-
67649318909
-
Robust Bayesian and Bayesian decision theoretic wavelet shrinkage
-
Bayesian Inference in Wavelet Based Models. Müller P., and Vidakovic B. (Eds), Springer-Verlag, New York
-
Ruggeri F. Robust Bayesian and Bayesian decision theoretic wavelet shrinkage. In: Müller P., and Vidakovic B. (Eds). Bayesian Inference in Wavelet Based Models. Lecture Notes in Statistics vol. 141 (1999), Springer-Verlag, New York 139-154
-
(1999)
Lecture Notes in Statistics
, vol.141
, pp. 139-154
-
-
Ruggeri, F.1
-
52
-
-
0033430776
-
A Bayesian decision theoretic approach to the choice of thresholding parameter
-
Ruggeri F., and Vidakovic B. A Bayesian decision theoretic approach to the choice of thresholding parameter. Statistica Sinica 9 (1999) 183-197
-
(1999)
Statistica Sinica
, vol.9
, pp. 183-197
-
-
Ruggeri, F.1
Vidakovic, B.2
-
53
-
-
0000446730
-
Bayesian denoising of visual images in the wavelet domain
-
Bayesian Inference in Wavelet Based Models. Müller P., and Vidakovic B. (Eds), Springer-Verlag, New York
-
Simoncelli E. Bayesian denoising of visual images in the wavelet domain. In: Müller P., and Vidakovic B. (Eds). Bayesian Inference in Wavelet Based Models. Lecture Notes in Statistics vol. 141 (1999), Springer-Verlag, New York 291-308
-
(1999)
Lecture Notes in Statistics
, vol.141
, pp. 291-308
-
-
Simoncelli, E.1
-
55
-
-
0000576595
-
Markov chains for exploring posterior distributions
-
Tierney L. Markov chains for exploring posterior distributions. Ann. Statist. 22 (1994) 1701-1728
-
(1994)
Ann. Statist.
, vol.22
, pp. 1701-1728
-
-
Tierney, L.1
-
56
-
-
0033478457
-
Covariance structure of wavelet coefficients: Theory and models in a Bayesian perspective
-
Vannucci M., and Corradi F. Covariance structure of wavelet coefficients: Theory and models in a Bayesian perspective. J. Roy. Statist. Soc., Ser. B 61 (1999) 971-986
-
(1999)
J. Roy. Statist. Soc., Ser. B
, vol.61
, pp. 971-986
-
-
Vannucci, M.1
Corradi, F.2
-
57
-
-
0011381986
-
Predictor selection for model averaging
-
George E.I., and Nanopoulos P. (Eds), Eurostat, Luxemburg
-
Vannucci M., Brown P.J., and Fearn T. Predictor selection for model averaging. In: George E.I., and Nanopoulos P. (Eds). Bayesian Methods with Applications to Science, Policy and Official Statistics (2001), Eurostat, Luxemburg 553-562
-
(2001)
Bayesian Methods with Applications to Science, Policy and Official Statistics
, pp. 553-562
-
-
Vannucci, M.1
Brown, P.J.2
Fearn, T.3
-
58
-
-
0037336626
-
A decision theoretical approach to wavelet regression on curves with a high number of regressors
-
Vannucci M., Brown P.J., and Fearn T. A decision theoretical approach to wavelet regression on curves with a high number of regressors. J. Statist. Plann. Inference 112 (2003) 195-212
-
(2003)
J. Statist. Plann. Inference
, vol.112
, pp. 195-212
-
-
Vannucci, M.1
Brown, P.J.2
Fearn, T.3
-
59
-
-
0032349461
-
Nonlinear wavelet shrinkage with Bayes rules and Bayes factors
-
Vidakovic B. Nonlinear wavelet shrinkage with Bayes rules and Bayes factors. J. Amer. Statist. Assoc. 93 (1998) 173-179
-
(1998)
J. Amer. Statist. Assoc.
, vol.93
, pp. 173-179
-
-
Vidakovic, B.1
-
60
-
-
0001256396
-
Wavelet-based nonparametric Bayes methods
-
Practical Nonparametric and Semiparametric Bayesian Statistics. Dey D., Müller P., and Sinha D. (Eds), Springer-Verlag, New York
-
Vidakovic B. Wavelet-based nonparametric Bayes methods. In: Dey D., Müller P., and Sinha D. (Eds). Practical Nonparametric and Semiparametric Bayesian Statistics. Lecture Notes in Statistics vol. 133 (1998), Springer-Verlag, New York 133-155
-
(1998)
Lecture Notes in Statistics
, vol.133
, pp. 133-155
-
-
Vidakovic, B.1
-
63
-
-
4043166681
-
An introduction to wavelets
-
Bayesian Inference in Wavelet Based Models. Müller P., and Vidakovic B. (Eds), Springer-Verlag, New York
-
Vidakovic B., and Müller P. An introduction to wavelets. In: Müller P., and Vidakovic B. (Eds). Bayesian Inference in Wavelet Based Models. Lecture Notes in Statistics vol. 141 (1999), Springer-Verlag, New York 1-18
-
(1999)
Lecture Notes in Statistics
, vol.141
, pp. 1-18
-
-
Vidakovic, B.1
Müller, P.2
-
65
-
-
0141819645
-
BAMS method: Theory and simulations
-
(Matlab code is available from the Wavelet Denoising software written by Antoniadis, Bigot, and Sapatinas, 2001)
-
Vidakovic B., and Ruggeri F. BAMS method: Theory and simulations. Sankhyā, Ser. B 63 (2001) 234-249 (Matlab code is available from the Wavelet Denoising software written by Antoniadis, Bigot, and Sapatinas, 2001)
-
(2001)
Sankhyā, Ser. B
, vol.63
, pp. 234-249
-
-
Vidakovic, B.1
Ruggeri, F.2
-
67
-
-
0032717391
-
Observed wavenumber spectra from 1 to 10,000 km of near-surface winds during the TOGA COARE IOP
-
Wikle C.K., Milliff R.F., and Large W.G. Observed wavenumber spectra from 1 to 10,000 km of near-surface winds during the TOGA COARE IOP. J. Atmospheric Sci. 56 (1999) 2222-2231
-
(1999)
J. Atmospheric Sci.
, vol.56
, pp. 2222-2231
-
-
Wikle, C.K.1
Milliff, R.F.2
Large, W.G.3
|