-
1
-
-
84916537550
-
Bayesian analysis of binary and polychotomous response data
-
Albert, J., Chib, S.: Bayesian analysis of binary and polychotomous response data. J. Am. Stat. Assoc. 88, 669-679 (1993).
-
(1993)
J. Am. Stat. Assoc.
, vol.88
, pp. 669-679
-
-
Albert, J.1
Chib, S.2
-
2
-
-
49749090429
-
Simultaneous selection of variables and smoothing parameters in structured additive regression models
-
Belitz, C., Lang, S.: Simultaneous selection of variables and smoothing parameters in structured additive regression models. Comput. Stat. Data Anal. 53, 61-81 (2008).
-
(2008)
Comput. Stat. Data Anal.
, vol.53
, pp. 61-81
-
-
Belitz, C.1
Lang, S.2
-
3
-
-
26444547624
-
Generalized structured additive regression based on Bayesian P-splines
-
Brezger, A., Lang, S.: Generalized structured additive regression based on Bayesian P-splines. Comput. Stat. Data Anal. 50, 967-991 (2006).
-
(2006)
Comput. Stat. Data Anal.
, vol.50
, pp. 967-991
-
-
Brezger, A.1
Lang, S.2
-
4
-
-
33845327820
-
Locally adaptive semiparametric estimation of the mean and variance functions in regression models
-
Chan, D., Kohn, R., Nott, D., Kirby, C.: Locally adaptive semiparametric estimation of the mean and variance functions in regression models. J. Comput. Graph. Stat. 15, 915-936 (2006).
-
(2006)
J. Comput. Graph. Stat.
, vol.15
, pp. 915-936
-
-
Chan, D.1
Kohn, R.2
Nott, D.3
Kirby, C.4
-
5
-
-
49549109589
-
Variable selection and model averaging in semiparametric overdispersed generalized linear models
-
Cottet, R., Kohn, R., Nott, D.: Variable selection and model averaging in semiparametric overdispersed generalized linear models. J. Am. Stat. Assoc. 103, 661-671 (2008).
-
(2008)
J. Am. Stat. Assoc.
, vol.103
, pp. 661-671
-
-
Cottet, R.1
Kohn, R.2
Nott, D.3
-
7
-
-
25444532788
-
Flexible smoothing using B-splines and penalized likelihood
-
Eilers, P. H. C., Marx, B. D.: Flexible smoothing using B-splines and penalized likelihood. Stat. Sci. 11, 89-121 (1996).
-
(1996)
Stat. Sci.
, vol.11
, pp. 89-121
-
-
Eilers, P.H.C.1
Marx, B.D.2
-
8
-
-
8644257675
-
Penalized structured additive regression for space-time data: a Bayesian perspective
-
Fahrmeir, L., Kneib, T., Lang, S.: Penalized structured additive regression for space-time data: a Bayesian perspective. Stat. Sin. 14, 731-761 (2004).
-
(2004)
Stat. Sin.
, vol.14
, pp. 731-761
-
-
Fahrmeir, L.1
Kneib, T.2
Lang, S.3
-
9
-
-
0035649015
-
Bayesian inference for generalized additive mixed models based on Markov random field priors
-
Fahrmeir, L., Lang, S.: Bayesian inference for generalized additive mixed models based on Markov random field priors. J. R. Stat. Soc., Ser. C, Appl. Stat. 50, 201-220 (2001).
-
(2001)
J. R. Stat. Soc., Ser. C, Appl. Stat.
, vol.50
, pp. 201-220
-
-
Fahrmeir, L.1
Lang, S.2
-
10
-
-
78650451839
-
Data augmentation and MCMC for binary and multinomial logit models
-
T. Kneib and G. Tutz (Eds.), Berlin: Springer
-
Frühwirth-Schnatter, S., Frühwirth, R.: Data augmentation and MCMC for binary and multinomial logit models. In: Kneib, T., Tutz, G. (eds.) Statistical Modelling and Regression Structures: Festschrift in Honour of Ludwig Fahrmeir, pp. 111-132. Springer, Berlin (2010).
-
(2010)
Statistical Modelling and Regression Structures: Festschrift in Honour of Ludwig Fahrmeir
, pp. 111-132
-
-
Frühwirth-Schnatter, S.1
Frühwirth, R.2
-
11
-
-
70349816927
-
Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data
-
Frühwirth-Schnatter, S., Frühwirth, R., Held, L., Rue, H.: Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data. Stat. Comput. 19, 479-492 (2009).
-
(2009)
Stat. Comput.
, vol.19
, pp. 479-492
-
-
Frühwirth-Schnatter, S.1
Frühwirth, R.2
Held, L.3
Rue, H.4
-
12
-
-
85013119491
-
Bayesian variable selection for random intercept modelling of Gaussian and non-Gaussian data
-
J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith, and M. West (Eds.), London: Oxford University Press
-
Frühwirth-Schnatter, S., Wagner, H.: Bayesian variable selection for random intercept modelling of Gaussian and non-Gaussian data. In: Bernardo, J. M., Bayarri, M. J., Berger, J. O., Dawid, A. P., Heckerman, D., Smith, A. F. M., West, M. (eds.) Bayesian Statistics, vol. 9, pp. 165-200. Oxford University Press, London (2011).
-
(2011)
Bayesian Statistics
, vol.9
, pp. 165-200
-
-
Frühwirth-Schnatter, S.1
Wagner, H.2
-
13
-
-
0037471367
-
Space-varying regression models: Specifications and simulation
-
Gamerman, D., Moreira, A. R. B., Rue, H.: Space-varying regression models: Specifications and simulation. Comput. Stat. Data Anal. 42, 513-533 (2003).
-
(2003)
Comput. Stat. Data Anal.
, vol.42
, pp. 513-533
-
-
Gamerman, D.1
Moreira, A.R.B.2
Rue, H.3
-
14
-
-
84867086419
-
Prior distributions for variance parameters in hierarchical models
-
Gelfand, A. E.: Prior distributions for variance parameters in hierarchical models. Bayesian Anal. 1, 515-534 (2006).
-
(2006)
Bayesian Anal.
, vol.1
, pp. 515-534
-
-
Gelfand, A.E.1
-
16
-
-
84855610432
-
Additive mixed models with Dirichlet process mixture and P-spline priors
-
Heinzl, F., Kneib, T., Fahrmeir, L.: Additive mixed models with Dirichlet process mixture and P-spline priors. AStA Adv. Stat. Anal. 96, 47-68 (2012).
-
(2012)
AStA Adv. Stat. Anal.
, vol.96
, pp. 47-68
-
-
Heinzl, F.1
Kneib, T.2
Fahrmeir, L.3
-
17
-
-
33748856551
-
Geoadditive survival models
-
Hennerfeind, A., Brezger, A., Fahrmeir, L.: Geoadditive survival models. J. Am. Stat. Assoc. 101, 1065-1075 (2006).
-
(2006)
J. Am. Stat. Assoc.
, vol.101
, pp. 1065-1075
-
-
Hennerfeind, A.1
Brezger, A.2
Fahrmeir, L.3
-
18
-
-
84867151416
-
Bayesian auxiliary variable models for binary and multinomial regression
-
Holmes, C. C., Held, L.: Bayesian auxiliary variable models for binary and multinomial regression. Bayesian Anal. 1, 145-168 (2006).
-
(2006)
Bayesian Anal.
, vol.1
, pp. 145-168
-
-
Holmes, C.C.1
Held, L.2
-
19
-
-
33751018838
-
Robust specification of the roughness penalty prior distribution in spatially adaptive Bayesian P-splines models
-
Jullion, A., Lambert, P.: Robust specification of the roughness penalty prior distribution in spatially adaptive Bayesian P-splines models. Comput. Stat. Data Anal. 51, 2542-2558 (2007).
-
(2007)
Comput. Stat. Data Anal.
, vol.51
, pp. 2542-2558
-
-
Jullion, A.1
Lambert, P.2
-
20
-
-
0141575677
-
Geoadditive models
-
Kamman, E. E., Wand, M. P.: Geoadditive models. J. R. Stat. Soc., Ser. C, Appl. Stat. 52, 1-18 (2003).
-
(2003)
J. R. Stat. Soc., Ser. C, Appl. Stat.
, vol.52
, pp. 1-18
-
-
Kamman, E.E.1
Wand, M.P.2
-
21
-
-
0030455233
-
Nutrition, health, and mortality in Sub Saharan Africa: is there a gender bias?
-
Klasen, S.: Nutrition, health, and mortality in Sub Saharan Africa: is there a gender bias? J. Dev. Stud. 32, 913-933 (1996).
-
(1996)
J. Dev. Stud.
, vol.32
, pp. 913-933
-
-
Klasen, S.1
-
22
-
-
78649434657
-
Simultaneous confidence bands for penalized spline estimators
-
Krivobokova, T., Kneib, T., Claeskens, G.: Simultaneous confidence bands for penalized spline estimators. J. Am. Stat. Assoc. 105, 852-863 (2010).
-
(2010)
J. Am. Stat. Assoc.
, vol.105
, pp. 852-863
-
-
Krivobokova, T.1
Kneib, T.2
Claeskens, G.3
-
24
-
-
84893914210
-
Accommodating heterogeneity and functional flexibility in store sales models: a Bayesian semiparametric approach
-
Lang, S., Steiner, W., Wechselberger, P.: Accommodating heterogeneity and functional flexibility in store sales models: a Bayesian semiparametric approach. Revised for Marketing Science (2012).
-
(2012)
Revised for Marketing Science
-
-
Lang, S.1
Steiner, W.2
Wechselberger, P.3
-
25
-
-
39149101409
-
Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models
-
Panagiotelis, A., Smith, M.: Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models. J. Econom. 143, 291-316 (2008).
-
(2008)
J. Econom.
, vol.143
, pp. 291-316
-
-
Panagiotelis, A.1
Smith, M.2
-
26
-
-
34249101736
-
A general framework for the parametrization of hierarchical models
-
Papaspiliopoulos, O., Roberts, G. O., Sköld, M.: A general framework for the parametrization of hierarchical models. Stat. Sci. 22, 59-73 (2007).
-
(2007)
Stat. Sci.
, vol.22
, pp. 59-73
-
-
Papaspiliopoulos, O.1
Roberts, G.O.2
Sköld, M.3
-
28
-
-
18544382833
-
Generalized additive models for location, scale and shape
-
Rigby, R. A., Stasinopoulos, D. M.: Generalized additive models for location, scale and shape. J. R. Stat. Soc., Ser. C, Appl. Stat. 54, 507-554 (2005).
-
(2005)
J. R. Stat. Soc., Ser. C, Appl. Stat.
, vol.54
, pp. 507-554
-
-
Rigby, R.A.1
Stasinopoulos, D.M.2
-
30
-
-
62849120031
-
Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
-
Rue, H., Martino, S., Nicolas, C.: Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. J. R. Stat. Soc. B 71, 319-392 (2009).
-
(2009)
J. R. Stat. Soc. B
, vol.71
, pp. 319-392
-
-
Rue, H.1
Martino, S.2
Nicolas, C.3
-
31
-
-
0036921633
-
Selecting the number of knots for penalized splines
-
Ruppert, D.: Selecting the number of knots for penalized splines. J. Comput. Graph. Stat. 11, 735-757 (2002).
-
(2002)
J. Comput. Graph. Stat.
, vol.11
, pp. 735-757
-
-
Ruppert, D.1
-
33
-
-
84871993172
-
Function selection in structured additive regression models based on spike-and-slab priors
-
to appear). doi: 10. 1080/01621459. 2012. 737742
-
Scheipl, F., Fahrmeir, L., Kneib, T.: Function selection in structured additive regression models based on spike-and-slab priors. J. Am. Stat. Assoc. (2012, to appear). doi: 10. 1080/01621459. 2012. 737742.
-
(2012)
J. Am. Stat. Assoc.
-
-
Scheipl, F.1
Fahrmeir, L.2
Kneib, T.3
-
34
-
-
0000824232
-
Nonparametric regression using Bayesian variable selection
-
Smith, M., Kohn, R.: Nonparametric regression using Bayesian variable selection. J. Econom. 75, 317-343 (1996).
-
(1996)
J. Econom.
, vol.75
, pp. 317-343
-
-
Smith, M.1
Kohn, R.2
-
35
-
-
0031326917
-
A Bayesian approach to nonparametric bivariate regression
-
Smith, M., Kohn, R.: A Bayesian approach to nonparametric bivariate regression. J. Am. Stat. Assoc. 92, 1522-1535 (1997).
-
(1997)
J. Am. Stat. Assoc.
, vol.92
, pp. 1522-1535
-
-
Smith, M.1
Kohn, R.2
-
36
-
-
0002432770
-
Sex differentials in the nutritional status of young children
-
United Nations (Ed.), New York: United Nations
-
Somerfelt, E., Arnold, F.: Sex differentials in the nutritional status of young children. In: United Nations (ed.) Too Young to Die, pp. 133-153. United Nations, New York (1999).
-
(1999)
Too Young to Die
, pp. 133-153
-
-
Somerfelt, E.1
Arnold, F.2
-
37
-
-
0036435040
-
Bayesian measures of model complexity and fit
-
Spiegelhalter, D. J., Best, N. G., Carlin, B. P., van der Linde, A.: Bayesian measures of model complexity and fit. J. R. Stat. Soc. B 65, 583-639 (2002).
-
(2002)
J. R. Stat. Soc. B
, vol.65
, pp. 583-639
-
-
Spiegelhalter, D.J.1
Best, N.G.2
Carlin, B.P.3
van der Linde, A.4
-
38
-
-
79953700583
-
Is economic growth associated with reduction in child undernutrition in India?
-
Subramanyam, M. A., Kawachi, I., Berkman, L. F., Subramanian, S. V.: Is economic growth associated with reduction in child undernutrition in India? PLoS Med. 8, 1-15 (2011).
-
(2011)
PLoS Med.
, vol.8
, pp. 1-15
-
-
Subramanyam, M.A.1
Kawachi, I.2
Berkman, L.F.3
Subramanian, S.V.4
-
40
-
-
0141576514
-
Thin-plate regression splines
-
Wood, S. N.: Thin-plate regression splines. J. R. Stat. Soc. B 65, 95-114 (2003).
-
(2003)
J. R. Stat. Soc. B
, vol.65
, pp. 95-114
-
-
Wood, S.N.1
-
42
-
-
84856609541
-
Priors for Bayesian adaptive spline smoothing
-
Yue, Y., Speckman, P., Sun, D.: Priors for Bayesian adaptive spline smoothing. Ann. Inst. Stat. Math. 64, 577-613 (2012).
-
(2012)
Ann. Inst. Stat. Math.
, vol.64
, pp. 577-613
-
-
Yue, Y.1
Speckman, P.2
Sun, D.3
|