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Last month |
3 months |
12 months |
Total |
| A BAYESIAN ANALYSIS OF EXOGENEITY IN MODELS POOLING TIME- SERIES AND CROSS -SECTION DATA |
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0 |
0 |
0 |
0 |
0 |
0 |
583 |
| A BAYESIAN ANALYSIS OF SIMULTANEOUS EQUATION MODELS BY COMBINING RECURSIVE ANALYTICAL AND NUMERICAL APPROACHES |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
684 |
| A Bayesian analysis of exogeneity in models pooling time-series and cross-section data |
0 |
0 |
0 |
1 |
0 |
0 |
3 |
29 |
| A Bayesian analysis of exogeneity in models pooling time-series and cross-section data |
0 |
0 |
0 |
0 |
1 |
1 |
3 |
5 |
| A Bayesian analysis of exogeneity: an application to consumption behaviour |
0 |
0 |
0 |
0 |
1 |
1 |
3 |
14 |
| A Bayesian analysis of multiple-output production frontier |
1 |
1 |
1 |
17 |
1 |
1 |
1 |
448 |
| A Bayesian analysis of simultaneous equation models by combining recursive analytical and numerical approaches |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
| A Bayesian analysis of simultaneous equation models by combining recursive analytical and numerical approaches |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
7 |
| A Bayesian analysis of simultaneous equation models by combining recursive analytical and numerical approaches |
0 |
0 |
0 |
3 |
1 |
1 |
1 |
15 |
| A Bayesian note on competing correlation structures in the dynamic linear regression model |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
15 |
| A Bayesian note on competing correlation structures in the dynamic linear regression model |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
| A Baysian Note on Competing Correlation Structures in the Dynamic Linear Regression Model |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
510 |
| A Constructive Representation of Univariate Skewed Distributions |
0 |
0 |
0 |
224 |
0 |
0 |
4 |
920 |
| A Decision Theoretic Analysis of the Unit Root Hypothesis Using Mixtures of Elliptical Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
352 |
| A Model of Management Teams |
0 |
0 |
0 |
0 |
1 |
1 |
4 |
163 |
| A Model of Management Teams |
0 |
0 |
0 |
493 |
0 |
1 |
2 |
2,241 |
| A Model of Management Teams |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
444 |
| A STOCHASTIC ANALYSIS OF AN INPUT-OUTPUT MODEL: COMMENT |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
778 |
| A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
| A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies |
0 |
0 |
0 |
15 |
2 |
3 |
5 |
57 |
| A decision theoretic analysis of the unit root hypothesis using mixtures of elliptical models |
0 |
0 |
0 |
1 |
0 |
0 |
3 |
38 |
| A decision theoretic analysis of the unit root hypothesis using mixtures of elliptical models |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
4 |
| A decision theoretic analysis of the unit root hypothesis using mixtures of elliptical models |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
26 |
| A model of management teams |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
30 |
| A model of management teams |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
8 |
| A stochastic analysis of an input-output model: Comment |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
3 |
| A stochastic analysis of an input-output model: Comment |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
13 |
| Alternative efficiency measures for multiple-output production |
0 |
0 |
1 |
9 |
0 |
0 |
2 |
369 |
| BAYESIAN MULTIVARIATE EXOGENEITY ANALYSIS: AN APPLICATION TO A UK MONEY DEMAND EQUATION |
0 |
0 |
0 |
0 |
0 |
2 |
3 |
356 |
| Bayesian Analysis of Long Memory and Persistence using ARFIMA Models |
0 |
0 |
0 |
732 |
0 |
0 |
3 |
2,321 |
| Bayesian Analysis of Long Memory and Persistence using ARFIMA Models |
0 |
0 |
0 |
11 |
1 |
1 |
2 |
386 |
| Bayesian Analysis of Stochastic Frontier Models |
0 |
0 |
3 |
42 |
0 |
0 |
9 |
1,322 |
| Bayesian Efficiency Analysis through Individual Effects: Hospital Cost Frontiers |
0 |
0 |
0 |
32 |
2 |
3 |
6 |
736 |
| Bayesian Inference in Time Series |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
502 |
| Bayesian Marginal Equivalence of Elliptical Regression Models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
475 |
| Bayesian Model Averaging in Causal Instrumental Variable Models |
0 |
0 |
6 |
6 |
0 |
0 |
6 |
6 |
| Bayesian Modelling of Catch in a Northwest Atlantic Fishery |
0 |
0 |
1 |
322 |
0 |
0 |
2 |
959 |
| Bayesian Multivariate Regression Analysis with a New Class of Skewed Distributions |
1 |
1 |
1 |
660 |
2 |
2 |
3 |
2,640 |
| Bayesian Regression Analysis with scale mixtures of normals |
0 |
0 |
2 |
20 |
0 |
0 |
4 |
613 |
| Bayesian Stochastic Frontier Analysis Using WinBUGS |
0 |
0 |
0 |
1,091 |
2 |
3 |
7 |
2,601 |
| Bayesian Survival Modelling of University Outcomes |
0 |
0 |
0 |
17 |
0 |
2 |
5 |
59 |
| Bayesian analysis of long memory and persistence using ARFIMA models |
0 |
0 |
0 |
2 |
0 |
0 |
2 |
28 |
| Bayesian econometrics:conjugate analysis and rejection sampling using mathematica |
0 |
0 |
0 |
10 |
0 |
1 |
1 |
57 |
| Bayesian efficiency analysis through individual effects: Hospital cost frontiers |
0 |
0 |
0 |
5 |
2 |
2 |
3 |
37 |
| Bayesian efficiency analysis with a flexible cost function |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
16 |
| Bayesian efficiency analysis with a flexible form: The aim cost function |
1 |
1 |
1 |
9 |
2 |
2 |
2 |
52 |
| Bayesian efficiency analysis with a flexible form: The aim cost function |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
3 |
| Bayesian inference in time series |
0 |
0 |
0 |
13 |
0 |
0 |
3 |
138 |
| Bayesian inference in time series |
0 |
0 |
0 |
0 |
3 |
3 |
3 |
13 |
| Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes |
0 |
0 |
0 |
49 |
0 |
0 |
15 |
356 |
| Bayesian long-run prediction in time series models |
0 |
0 |
1 |
8 |
0 |
0 |
1 |
38 |
| Bayesian marginal equivalence of elliptical regression models |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
1 |
| Bayesian marginal equivalence of elliptical regression models |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
12 |
| Bayesian marginal equivalence of elliptical regression models |
0 |
0 |
0 |
1 |
0 |
1 |
1 |
14 |
| Bayesian modelling of catch in a Northwest Atlantic Fishery |
0 |
0 |
0 |
0 |
0 |
3 |
6 |
162 |
| Bayesian modelling of catch in a Northwest Atlantic Fishery |
0 |
0 |
1 |
1 |
0 |
0 |
3 |
227 |
| Bayesian modelling of skewness and kurtosis with two-piece scale and shape transformations |
0 |
0 |
0 |
16 |
1 |
2 |
3 |
58 |
| Bayesian multivariate exogeneity analysis: An application to a UK money demand equation |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
6 |
| Bayesian multivariate exogeneity analysis: An application to a UK money demand equation |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
4 |
| Bayesian multivariate exogeneity analysis: An application to a UK money demand equation |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
13 |
| Benchmark Priors for Bayesian Model Averaging |
0 |
0 |
5 |
896 |
0 |
0 |
14 |
2,048 |
| Benchmark priors for Bayesian Model averaging |
0 |
0 |
0 |
202 |
2 |
3 |
3 |
752 |
| Benchmark priors for Bayesian model averaging |
0 |
0 |
0 |
2 |
4 |
4 |
4 |
198 |
| Benchmark priors for Bayesian model averaging |
0 |
0 |
0 |
261 |
1 |
1 |
2 |
889 |
| Classical and Bayesian Inference Robustness in Multivariate Regression models |
0 |
0 |
0 |
2 |
1 |
1 |
1 |
1,265 |
| Directional Log-spline Distributions |
0 |
0 |
0 |
90 |
0 |
0 |
2 |
477 |
| Estimating End-Use Demand: A Bayesian Approach |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
365 |
| Estimating End-use Demand: a Bayesian Approach |
0 |
0 |
0 |
2 |
0 |
1 |
1 |
22 |
| Estimating end-use demand: A Bayesian approach |
0 |
0 |
1 |
1 |
0 |
0 |
1 |
29 |
| Exclusion restrictions in instrumental variables equations |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
6 |
| Exclusion restrictions in instrumental variables equations |
0 |
0 |
0 |
1 |
2 |
2 |
2 |
12 |
| Exclusion restrictions in instrumental variables equations |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
7 |
| Exclusion restrictions in instrumental variables equations |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
19 |
| Hospital efficiency analysis through individual effects: A Bayesian approach |
0 |
0 |
0 |
14 |
0 |
0 |
2 |
35 |
| Hospital efficiency analysis through individual effects: A Bayesian approach |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
5 |
| Inference Robustness in Multivariate Models with a Scale Parameter |
0 |
0 |
0 |
6 |
0 |
1 |
1 |
157 |
| Inference With Non-Gaussian Ornstein-Uhlenbeck Processes for Stochastic Volatility |
0 |
0 |
0 |
777 |
0 |
0 |
0 |
2,324 |
| Inference robustness in multivariate models with a scale parameter |
0 |
0 |
0 |
1 |
1 |
1 |
2 |
5 |
| Inference robustness in multivariate models with a scale parameter |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
13 |
| Jointness in Bayesian variable selection with applications to growth regression |
0 |
0 |
0 |
103 |
0 |
1 |
2 |
282 |
| Marginal Equivalence in V-Spherical Models |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
623 |
| Marginal equivalence in v-spherical models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
| Marginal equivalence in v-spherical models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
15 |
| Measuring the Sources of Output Growth in a Panel of Countries |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
332 |
| Mixtures of g-priors for Bayesian Model Averaging with economic application |
0 |
0 |
1 |
45 |
2 |
3 |
11 |
179 |
| Mixtures of g-priors for Bayesian model averaging with economic applications |
0 |
1 |
1 |
63 |
2 |
4 |
7 |
156 |
| Mixtures of g-priors for Bayesian model averaging with economic applications |
0 |
0 |
0 |
5 |
0 |
0 |
2 |
57 |
| Mixtures of g-priors for bayesian model averaging with economic applications |
0 |
0 |
1 |
43 |
1 |
1 |
5 |
152 |
| Model Averaging and its Use in Economics |
0 |
0 |
0 |
92 |
1 |
2 |
8 |
132 |
| Model Averaging and its Use in Economics |
0 |
0 |
0 |
169 |
0 |
1 |
6 |
246 |
| Model Comparison of Coordinate-Free Multivariate Skewed Distributions with an Application to Stochastic Frontiers |
0 |
0 |
0 |
169 |
2 |
6 |
8 |
897 |
| Model uncertainty in cross-country growth regressions |
0 |
1 |
9 |
710 |
3 |
8 |
22 |
1,430 |
| Model uncertainty in cross-country growth regressions |
0 |
1 |
2 |
502 |
4 |
6 |
9 |
1,844 |
| Model-based Clustering of non-Gaussian Panel Data |
0 |
0 |
0 |
102 |
2 |
2 |
7 |
320 |
| Modelling Directional Dispersion Through Hyperspherical Log- Splines |
0 |
0 |
0 |
49 |
0 |
0 |
1 |
320 |
| Multiple-Output Production With Undesirable Outputs: An Application to Nitrogen Surplus in Agriculture |
0 |
0 |
0 |
424 |
0 |
0 |
1 |
1,051 |
| Multiple-output production with undesirable output: An application to nitrogen surplus in agriculture |
0 |
1 |
1 |
7 |
1 |
2 |
2 |
451 |
| Multivariate Student -t Regression Models: Pitfalls and Inference |
0 |
0 |
0 |
11 |
0 |
0 |
1 |
48 |
| Multivariate Student -t Regression Models: Pitfalls and Inference |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
| Non-Gaussian dynamic Bayesian modelling for panel data |
0 |
0 |
0 |
126 |
0 |
2 |
6 |
316 |
| Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models |
0 |
0 |
0 |
12 |
1 |
1 |
2 |
32 |
| Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
8 |
| On Bayesian Inference under Sampling from Scale Mixtures of Normals |
0 |
0 |
0 |
2 |
0 |
1 |
1 |
30 |
| On Bayesian Inference under Sampling from Scale Mixtures of Normals |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
1 |
| On Bayesian Modelling of Fat Tails and Skewness |
0 |
0 |
0 |
85 |
0 |
0 |
2 |
170 |
| On Bayesian Modelling of Fat Tails and Skewness |
0 |
0 |
0 |
4 |
5 |
5 |
7 |
39 |
| On Describing Multivariate Skewness: A Directional Approach |
0 |
0 |
0 |
415 |
0 |
1 |
2 |
1,228 |
| On the Dangers of Modelling through Continuous Distributions: A Bayesian Perspective |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
| On the Dangers of Modelling through Continuous Distributions: A Bayesian Perspective |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
13 |
| On the Effect of Prior Assumptions in Bayesian Model Averaging with Applications to Growth Regression |
0 |
0 |
0 |
37 |
0 |
1 |
4 |
119 |
| On the Estimation of Demand Systems Through Consumption Efficiency |
0 |
0 |
0 |
316 |
2 |
2 |
2 |
1,220 |
| On the Use of Panel Data in Bayesian Stochastic Frontier Models |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
45 |
| On the Use of Panel Data in Bayesian Stochastic Frontier Models |
0 |
0 |
1 |
2 |
0 |
0 |
1 |
7 |
| On the dangers of modelling through continuous distributions: A Bayesian perspective |
0 |
0 |
0 |
42 |
0 |
0 |
0 |
410 |
| On the effect of prior assumptions in Bayesian model averaging with applications to growth regression |
0 |
0 |
1 |
136 |
1 |
2 |
6 |
337 |
| POSTERIOR INFERENCE ON THE DEGREES OF FREEDOM PARAMETER IN MULTIVARIATE-T REGRESSION MODELS |
0 |
0 |
0 |
0 |
0 |
3 |
4 |
634 |
| Posterior Analysis of Stochastic Frontier Models using Gibbs Sampling |
1 |
2 |
5 |
129 |
2 |
4 |
15 |
339 |
| Posterior Analysis of Stochastic Volatility Models with Flexible Tails |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
377 |
| Posterior analysis of stochastic frontier models using Gibbs sampling |
0 |
0 |
0 |
27 |
0 |
1 |
7 |
93 |
| Posterior analysis of stochastic volatility models with flexible tails |
0 |
0 |
0 |
2 |
1 |
2 |
3 |
8 |
| Posterior analysis of stochastic volatility models with flexible tails |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
10 |
| Posterior inference on long-run impulse responses |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
17 |
| Posterior inference on the degrees of freedom parameter in multivariate-t regression models |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
3 |
| Posterior inference on the degrees of freedom parameter in multivariate-t regression models |
0 |
0 |
0 |
4 |
1 |
1 |
1 |
17 |
| Posterior inference on the degrees of freedom parameter in multivariate-t regression models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
| Posterior moments of scale parameters in elliptical regression models |
0 |
0 |
0 |
4 |
1 |
2 |
3 |
28 |
| REGRESSION MODELS UNDER COMPETING COVARIANCE MATRICES: A BAYSIAN PERSPECTIVE |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
658 |
| ROBUST BAYESIAN INFERENCE IN ELLIPTICAL REGRESSION MODELS |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
376 |
| Reference Priors For Non-Normal Two-Sample Problems |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
19 |
| Reference Priors For Non-Normal Two-Sample Problems |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
| Reference Priors for the General Location-Scale Model |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
25 |
| Reference Priors for the General Location-Scale Model |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
4 |
| Reference priors for the general location-scale model |
0 |
0 |
0 |
12 |
0 |
0 |
2 |
486 |
| Reference priors in non-normal location problems |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
6 |
| Reference priors in non-normal location problems |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
20 |
| Regression models under competing covariance matrices: A Bayesian perspective |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
2 |
| Regression models under competing covariance matrices: A Bayesian perspective |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
11 |
| Rejection sampling in demand systems |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
9 |
| Revised stochastic analysis of an input-output model |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
16 |
| Revised stochastic analysis of an input-output model |
0 |
0 |
0 |
0 |
2 |
2 |
3 |
4 |
| Robust Bayesian Inference on Scale Parameters |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
4 |
| Robust Bayesian Inference on Scale Parameters |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
17 |
| Robust Bayesian inference in Iq-Spherical models |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
27 |
| Robust Bayesian inference in LQ-spherical models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
| Robust Bayesian inference in elliptical regression models |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
3 |
| Robust Bayesian inference in elliptical regression models |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
38 |
| Robust Bayesian inference on scale parameters |
0 |
0 |
0 |
2 |
0 |
1 |
3 |
200 |
| Robust bayesian inference in empirical regression models |
0 |
0 |
0 |
3 |
0 |
0 |
2 |
26 |
| Seemingly unrelated regression equation systems under diffuse stochastic prior information: A recursive analytical approach |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
| Seemingly unrelated regression equation systems under diffuse stochastic prior information: A recursive analytical approach |
0 |
0 |
0 |
3 |
1 |
1 |
1 |
18 |
| Semi-conjugate prior densities in multivariate t regression models |
0 |
0 |
0 |
0 |
2 |
3 |
3 |
5 |
| Semi-conjugate prior densities in multivariate t regression models |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
32 |
| Semi-conjugate prior densities in multivariate t regression models |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
116 |
| Semiparametric Bayesian Inference for Stochastic Frontier Models |
0 |
0 |
0 |
424 |
0 |
1 |
3 |
799 |
| Statistical Modeling of Fishing Activities in the North Atlantic |
0 |
0 |
0 |
214 |
0 |
0 |
2 |
1,100 |
| Statistical Modelling of Fishing Activities in the North Atlantic |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
| Statistical Modelling of Fishing Activities in the North Atlantic |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
24 |
| Statistical modeling of fishing activities in the North Atlantic |
0 |
0 |
0 |
45 |
0 |
0 |
1 |
317 |
| Stochastic frontier models: a bayesian perspective |
1 |
1 |
1 |
41 |
4 |
4 |
5 |
119 |
| Testing for exogeneity. An application to consumption behaviour |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
10 |
| The Components of Output Growth: A Croos-Country Analysis |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
719 |
| The Components of Output Growth: A Cross-Country Analysis |
0 |
0 |
0 |
17 |
0 |
0 |
0 |
105 |
| The Continuous Multivariate Location-Scale Model Revisited: A Tale of Robustness |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
204 |
| The components of output growth: A cross-country analysis |
0 |
0 |
0 |
3 |
0 |
0 |
2 |
39 |
| The components of output growth: A cross-country analysis |
0 |
0 |
0 |
1 |
0 |
1 |
1 |
9 |
| The continuous multivariate location-scale model revisited: A tale of robustness |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
| The continuous multivariate location-scale model revisited: A tale of robustness |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
10 |
| WEAK EXOGENEITY IN MISSPECIFIED SEQUENTIAL MODELS |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
249 |
| We Just Averaged over Two Trillion Cross-Country Growth Regressions |
0 |
0 |
0 |
49 |
0 |
0 |
1 |
264 |
| We have just averaged over two trillion cross-country growth regressions |
0 |
0 |
0 |
7 |
1 |
1 |
3 |
328 |
| Weak exogeneity in misspecified sequential models |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
6 |
| Weak exogeneity in misspecified sequential models |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
25 |
| reference Priors in Non-Normal Location Problems |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
214 |
| Total Working Papers |
5 |
10 |
47 |
10,807 |
86 |
154 |
407 |
51,329 |