-
1
-
-
49749090429
-
Simultaneous Selection of Variables and Smoothing Parameters in Structured Additive Regression Models
-
C.Belitz,, and S.Lang, (2008), “Simultaneous Selection of Variables and Smoothing Parameters in Structured Additive Regression Models,” Computational Statistics and Data Analysis, 53, 61–81.
-
(2008)
Computational Statistics and Data Analysis
, vol.53
, pp. 61-81
-
-
Belitz, C.1
Lang, S.2
-
2
-
-
77953833620
-
-
Version 2.1
-
C.Belitz,, A.Brezger,, T.Kneib,, S.Lang,, and N.Umlauf, (2012), “Bayesx – Software for Bayesian Inference in Structured Additive Regression Models,” Version 2.1. Available at http://www.bayesx.org
-
(2012)
Bayesx – Software for Bayesian Inference in Structured Additive Regression Models
-
-
Belitz, C.1
Brezger, A.2
Kneib, T.3
Lang, S.4
Umlauf, N.5
-
3
-
-
26444547624
-
Generalized Structured Additive Regression Based on Bayesian P-Splines
-
A.Brezger,, and S.Lang, (2006), “Generalized Structured Additive Regression Based on Bayesian P-Splines,” Computational Statistics & Data Analysis, 50, 967–991.
-
(2006)
Computational Statistics & Data Analysis
, vol.50
, pp. 967-991
-
-
Brezger, A.1
Lang, S.2
-
4
-
-
34848883578
-
Zero-Inflated Generalized Poisson Models With Regression Effects on the Mean, Dispersion and Zero-Inflation Level Applied to Patent Outsourcing Rates
-
C.Czado,, V.Erhardt,, A.Min,, and S.Wagner, (2007), “Zero-Inflated Generalized Poisson Models With Regression Effects on the Mean, Dispersion and Zero-Inflation Level Applied to Patent Outsourcing Rates,” Statistical Modelling, 7, 125–153.
-
(2007)
Statistical Modelling
, vol.7
, pp. 125-153
-
-
Czado, C.1
Erhardt, V.2
Min, A.3
Wagner, S.4
-
5
-
-
10144251752
-
Non-Life Rate-Making With Bayesian GAMs
-
M.Denuit,, and S.Lang, (2004), “Non-Life Rate-Making With Bayesian GAMs,” Insurance: Mathematics and Economics, 35, 627–647.
-
(2004)
Insurance: Mathematics and Economics
, vol.35
, pp. 627-647
-
-
Denuit, M.1
Lang, S.2
-
6
-
-
0030305453
-
Randomized Quantile Residuals
-
P.K.Dunn,, and G.K.Smyth, (1996), “Randomized Quantile Residuals,” Journal of Computational and Graphical Statistics, 5, 236–245.
-
(1996)
Journal of Computational and Graphical Statistics
, vol.5
, pp. 236-245
-
-
Dunn, P.K.1
Smyth, G.K.2
-
7
-
-
56949101082
-
Propriety of Posteriors in Structured Additive Regression Models: Theory and Empirical Evidence
-
L.Fahrmeir,, and T.Kneib, (2009), “Propriety of Posteriors in Structured Additive Regression Models: Theory and Empirical Evidence,” Journal of Statistical Planning and Inference, 139, 843–859.
-
(2009)
Journal of Statistical Planning and Inference
, vol.139
, pp. 843-859
-
-
Fahrmeir, L.1
Kneib, T.2
-
8
-
-
0038182874
-
Bayesian Semiparametric Regression Analysis of Multicategorical Time-Space Data
-
L.Fahrmeir,, and S.Lang, (2001), “Bayesian Semiparametric Regression Analysis of Multicategorical Time-Space Data,” Annals of the Institute of Statistical Mathematics, 53, 11–30.
-
(2001)
Annals of the Institute of Statistical Mathematics
, vol.53
, pp. 11-30
-
-
Fahrmeir, L.1
Lang, S.2
-
9
-
-
33748427185
-
Structured Additive Regression for Overdispersed and Zero-Inflated Count Data
-
L.Fahrmeir,, and L.Echavarría, (2006), “Structured Additive Regression for Overdispersed and Zero-Inflated Count Data,” Applied Stochastic Models in Business and Industry, 22, 351–369.
-
(2006)
Applied Stochastic Models in Business and Industry
, vol.22
, pp. 351-369
-
-
Fahrmeir, L.1
Echavarría, L.2
-
11
-
-
8644257675
-
Penalized Structured Additive Regression for Space-Time Data: A Bayesian Perspective
-
L.Fahrmeir,, T.Kneib,, and S.Lang, (2004), “Penalized Structured Additive Regression for Space-Time Data: A Bayesian Perspective,” Statistica Sinica, 14, 731–761.
-
(2004)
Statistica Sinica
, vol.14
, pp. 731-761
-
-
Fahrmeir, L.1
Kneib, T.2
Lang, S.3
-
12
-
-
84930436408
-
-
New York: Springer
-
L.Fahrmeir,, T.Kneib,, S.Lang,, and B.Marx, (2013), Regression—Models, Methods and Applications, New York: Springer.
-
(2013)
Regression—Models, Methods and Applications
-
-
Fahrmeir, L.1
Kneib, T.2
Lang, S.3
Marx, B.4
-
13
-
-
0042042167
-
Sampling From the Posterior Distribution in Genera-lized Linear Mixed Models
-
D.Gamerman, (1997), “Sampling From the Posterior Distribution in Genera-lized Linear Mixed Models,” Statistics and Computing, 7, 57–68.
-
(1997)
Statistics and Computing
, vol.7
, pp. 57-68
-
-
Gamerman, D.1
-
14
-
-
84867086419
-
Prior Distributions for Variance Parameters in Hierarchichal Models
-
A.Gelman, (2006), “Prior Distributions for Variance Parameters in Hierarchichal Models,” Bayesian Analysis, 1, 515–533.
-
(2006)
Bayesian Analysis
, vol.1
, pp. 515-533
-
-
Gelman, A.1
-
15
-
-
33947274775
-
Strictly Proper Scoring Rules, Prediction, and Estimation
-
T.Gneiting,, and A.E.Raftery, (2007), “Strictly Proper Scoring Rules, Prediction, and Estimation,” Journal of the American Statistical Association, 102, 359–378.
-
(2007)
Journal of the American Statistical Association
, vol.102
, pp. 359-378
-
-
Gneiting, T.1
Raftery, A.E.2
-
17
-
-
77955050486
-
Sieve Maximum Likelihood Estimation for Doubly Semiparametric Zero-Inflated Poisson Models
-
X.He,, H.Xue,, and N.Z.Shi, (2010), “Sieve Maximum Likelihood Estimation for Doubly Semiparametric Zero-Inflated Poisson Models,” Journal of Multivariate Analysis, 101, 2026–2038.
-
(2010)
Journal of Multivariate Analysis
, vol.101
, pp. 2026-2038
-
-
He, X.1
Xue, H.2
Shi, N.Z.3
-
18
-
-
70350697466
-
The Zero-Adjusted Inverse Gaussian Distribution as a Model for Insurance Data
-
Newell J., Hinde J., Einbeck J., (eds)
-
G.Heller,, D.M.Stasinopoulos,, and R.A.Rigby, (2006), “The Zero-Adjusted Inverse Gaussian Distribution as a Model for Insurance Data,” in Proceedings of the 21st International Workshop on Statistical Modelling, eds. J. Newell, J. Hinde, and J. Einbeck, pp. 226–233.
-
(2006)
Proceedings of the 21st International Workshop on Statistical Modelling
, pp. 226-233
-
-
Heller, G.1
Stasinopoulos, D.M.2
Rigby, R.A.3
-
20
-
-
33745746378
-
Modeling Probabilities of Patent Oppositions in a Bayesian Semiparametric Regression Framework
-
A.Jerak,, and S.Wagner, (2006), “Modeling Probabilities of Patent Oppositions in a Bayesian Semiparametric Regression Framework,” Empirical Economics, 31, 513–533.
-
(2006)
Empirical Economics
, vol.31
, pp. 513-533
-
-
Jerak, A.1
Wagner, S.2
-
21
-
-
33751018838
-
Robust Specification of the Roughness Penalty Prior Distribution in Spatially Adaptive Bayesian P-Splines Models
-
A.Jullion,, and P.Lambert, (2007), “Robust Specification of the Roughness Penalty Prior Distribution in Spatially Adaptive Bayesian P-Splines Models,” Computational Statistics & Data Analysis, 51, 2542–2558.
-
(2007)
Computational Statistics & Data Analysis
, vol.51
, pp. 2542-2558
-
-
Jullion, A.1
Lambert, P.2
-
22
-
-
0032382838
-
Markov Chain Monte Carlo in Practice: A Roundable Discussion
-
R.E.Kaas,, B.P.Carlin,, A.Gelman,, and R.M.Neal, (2012), “Markov Chain Monte Carlo in Practice: A Roundable Discussion,” The American Statistician, 52, 93–100.
-
(2012)
The American Statistician
, vol.52
, pp. 93-100
-
-
Kaas, R.E.1
Carlin, B.P.2
Gelman, A.3
Neal, R.M.4
-
23
-
-
84894489843
-
Nonlife Ratemaking and Risk Management With Bayesian Generalized Additive Models for Location, Scale and Shape
-
N.Klein,, M.Denuit,, T.Kneib,, and S.Lang, (2014), “Nonlife Ratemaking and Risk Management With Bayesian Generalized Additive Models for Location, Scale and Shape,” Insurance: Mathematics and Economics, 55, 225–249.
-
(2014)
Insurance: Mathematics and Economics
, vol.55
, pp. 225-249
-
-
Klein, N.1
Denuit, M.2
Kneib, T.3
Lang, S.4
-
24
-
-
78649434657
-
Simultaneous Confidence Bands for Penalized Spline Estimators
-
T.Krivobokova,, T.Kneib,, and G.Claeskens, (2010), “Simultaneous Confidence Bands for Penalized Spline Estimators,” Journal of the American Statistical Association, 105, 852–863.
-
(2010)
Journal of the American Statistical Association
, vol.105
, pp. 852-863
-
-
Krivobokova, T.1
Kneib, T.2
Claeskens, G.3
-
25
-
-
1842591298
-
Bayesian P-Splines
-
S.Lang,, and A.Brezger, (2004), “Bayesian P-Splines,” Journal of Computational and Graphical Statistics, 13, 183–212.
-
(2004)
Journal of Computational and Graphical Statistics
, vol.13
, pp. 183-212
-
-
Lang, S.1
Brezger, A.2
-
26
-
-
84893913808
-
Multilevel Structured Additive Regression
-
S.Lang,, N.Umlauf,, P.Wechselberger,, K.Harttgen,, and T.Kneib, (2014), “Multilevel Structured Additive Regression,” Statistics and Computing, 24, 223–238.
-
(2014)
Statistics and Computing
, vol.24
, pp. 223-238
-
-
Lang, S.1
Umlauf, N.2
Wechselberger, P.3
Harttgen, K.4
Kneib, T.5
-
27
-
-
84872515955
-
On the Half-Cauchy Prior for a Global Scale Parameter
-
N.G.Polson,, and J.G.Scott, (2012), “On the Half-Cauchy Prior for a Global Scale Parameter,” Bayesian Analysis, 7, 887–902.
-
(2012)
Bayesian Analysis
, vol.7
, pp. 887-902
-
-
Polson, N.G.1
Scott, J.G.2
-
28
-
-
18544382833
-
Generalized Additive Models for Location, Scale and Shape” (with discussion)
-
R.A.Rigby,, and D.M.Stasinopoulos, (2005), “Generalized Additive Models for Location, Scale and Shape” (with discussion), Journal of the Royal Statistical Society, Series C, 54, 507–554.
-
(2005)
Journal of the Royal Statistical Society, Series C
, vol.54
, pp. 507-554
-
-
Rigby, R.A.1
Stasinopoulos, D.M.2
-
30
-
-
0012891890
-
-
CambridgeUK: Cambridge University Press
-
D.Ruppert,, M.P.Wand,, and R.J.Carroll, (2003), Semiparametric Regression, CambridgeUK: Cambridge University Press.
-
(2003)
Semiparametric Regression
-
-
Ruppert, D.1
Wand, M.P.2
Carroll, R.J.3
-
31
-
-
84871993172
-
Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models
-
F.Scheipl,, L.Fahrmeir,, and T.Kneib, (2012), “Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models,” Journal of the American Statistical Association, 107, 1518–1532.
-
(2012)
Journal of the American Statistical Association
, vol.107
, pp. 1518-1532
-
-
Scheipl, F.1
Fahrmeir, L.2
Kneib, T.3
-
32
-
-
0036435040
-
Bayesian Measures of Model Complexity and Fit
-
D.J.Spiegelhalter,, N.G.Best,, B.P.Carlin,, and A.van der Linde, (2002), “Bayesian Measures of Model Complexity and Fit,” Journal of the Royal Statistical Society, Series B, 64, 583–639.
-
(2002)
Journal of the Royal Statistical Society, Series B
, vol.64
, pp. 583-639
-
-
Spiegelhalter, D.J.1
Best, N.G.2
Carlin, B.P.3
van der Linde, A.4
-
33
-
-
40549109271
-
Generalized Additive Models for Location Scale and Shape (GAMLSS) in R
-
D.M.Stasinopoulos,, and R.A.Rigby, (2007), “Generalized Additive Models for Location Scale and Shape (GAMLSS) in R,” Journal of Statistical Software, 23.
-
(2007)
Journal of Statistical Software
, pp. 23
-
-
Stasinopoulos, D.M.1
Rigby, R.A.2
-
34
-
-
18544379296
-
-
D.M.Stasinopoulos,, B.Rigby,, and C.Akantziliotou, (2008), Instructions on How to Use the Gamlss Package in R (2nd ed.), available at www.gamlss.org.
-
(2008)
Instructions on How to Use the Gamlss Package in R (2nd ed.)
-
-
Stasinopoulos, D.M.1
Rigby, B.2
Akantziliotou, C.3
-
35
-
-
0035613485
-
Propriety of Posteriors With Improper Priors in Hierarchical Linear Mixed Models
-
D.Sun,, R.K.Tsutakawa,, and Z.He, (2001), “Propriety of Posteriors With Improper Priors in Hierarchical Linear Mixed Models,” Statistica Sinica, 11, 77–95.
-
(2001)
Statistica Sinica
, vol.11
, pp. 77-95
-
-
Sun, D.1
Tsutakawa, R.K.2
He, Z.3
-
37
-
-
4944226585
-
Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
-
S.N.Wood, (2004), “Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models,” Journal of the American Statistical Association, 99, 673–686.
-
(2004)
Journal of the American Statistical Association
, vol.99
, pp. 673-686
-
-
Wood, S.N.1
-
39
-
-
42149179133
-
Fast Stable Direct Fitting and Smoothness Selection for Generalized Additive Models
-
——— (2008), “Fast Stable Direct Fitting and Smoothness Selection for Generalized Additive Models,” Journal of the Royal Statistical Society, Series B, 70, 495–518.
-
(2008)
Journal of the Royal Statistical Society, Series B
, vol.70
, pp. 495-518
-
-
-
40
-
-
48749097940
-
Regression Models for Count Data in R
-
A.Zeileis,, C.Kleiber,, and S.Jackman, (2008), “Regression Models for Count Data in R,” Journal of Statistical Software, 27.
-
(2008)
Journal of Statistical Software
, pp. 27
-
-
Zeileis, A.1
Kleiber, C.2
Jackman, S.3
|