Institution: Monash University
Primary Field: Econometrics (weighted toward more recent publications)
Homepage: http://www.buseco.monash.edu.au
Scores use coauthorship adjustment: α/n credit per paper, where n = number of authors. α = 2.02: calibrated so average adjusted count equals average raw count (a zero-sum adjustment).
| Period | S (4x) | A (2x) | B (1x) | C (½x) | Total | Percentile |
|---|---|---|---|---|---|---|
| Last 5 Years | 0.00 | 1.01 | 0.00 | 0.00 | 1.01 | 35% |
| Last 10 Years | 0.00 | 1.01 | 0.00 | 0.00 | 1.01 | 29% |
| All Time | 0.00 | 2.35 | 4.71 | 0.00 | 7.06 | 85% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2022 | Fast and accurate variational inference for models with many latent variables | Journal of Econometrics | A | 4 |
| 2014 | From Amazon to Apple: Modeling Online Retail Sales, Purchase Incidence, and Visit Behavior | Journal of Business & Economic Statistics | A | 3 |
| 2012 | Using a nested logit model to forecast television ratings | International Journal of Forecasting | B | 2 |
| 2011 | Forecasting television ratings | International Journal of Forecasting | B | 3 |
| 1994 | Comparing naive with econometric market share models when competitors' actions are forecast | International Journal of Forecasting | B | 1 |
| 1992 | Predictive accuracy of simple versus complex econometric market share models: Theoretical and empirical results | International Journal of Forecasting | B | 2 |