nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A Bayesian Approach to Fitting Gibbs Processes with Temporal Random Effects
|
King, Ruth |
|
2012 |
17 |
4 |
p. 601-622 |
artikel |
2 |
A Multivariate Hidden Markov Model for the Identification of Sea Regimes from Incomplete Skewed and Circular Time Series
|
Bulla, J. |
|
2012 |
17 |
4 |
p. 544-567 |
artikel |
3 |
Bayes Factor Based on a Maximum Statistic for Case-Control Genetic Association Studies
|
Wang, Linglu |
|
2012 |
17 |
4 |
p. 568-582 |
artikel |
4 |
Bayes Inference for a Tractable New Class of Non-symmetric Distributions for 3-Dimensional Rotations
|
Bingham, Melissa A. |
|
2012 |
17 |
4 |
p. 527-543 |
artikel |
5 |
Claus Thorn Ekstrom and Helle Sorensen: Statistical Data Analysis for the Life Sciences
|
Kim, Mi-Ok |
|
2012 |
17 |
4 |
p. 702-703 |
artikel |
6 |
Comments on: Inference for Size Demography From Point Pattern Data Using Integral Projection Models
|
Ellner, Stephen P. |
|
2012 |
17 |
4 |
p. 682-689 |
artikel |
7 |
Comments on: Inference for Size Demography From Point Pattern Data Using Integral Projection Models
|
Guhaniyogi, Rajarshi |
|
2012 |
17 |
4 |
p. 678-681 |
artikel |
8 |
Comments on: Inference for Size Demography From Point Process Data Using Integral Projection Models
|
Hooten, Mevin B. |
|
2012 |
17 |
4 |
p. 690-692 |
artikel |
9 |
Estimating the Number of Genes That Are Differentially Expressed in Both of Two Independent Experiments
|
Orr, Megan |
|
2012 |
17 |
4 |
p. 583-600 |
artikel |
10 |
Inference for Size Demography From Point Pattern Data Using Integral Projection Models
|
Ghosh, Souparno |
|
2012 |
17 |
4 |
p. 641-677 |
artikel |
11 |
Rejoinder
|
Ghosh, Souparno |
|
2012 |
17 |
4 |
p. 693-699 |
artikel |
12 |
Richard E. Plant: Spatial Data Analysis in Ecology and Agriculture Using R
|
Bandyopadhyay, Dipankar |
|
2012 |
17 |
4 |
p. 700-701 |
artikel |
13 |
Uncertainty Analysis for Computationally Expensive Models with Multiple Outputs
|
Ruppert, David |
|
2012 |
17 |
4 |
p. 623-640 |
artikel |