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Mendeley readers
| Chapter title |
Bayesian Methods, Regularization and Expectation-Maximization
|
|---|---|
| Chapter number | 6 |
| Book title |
Statistical Foundations of Actuarial Learning and its Applications
|
| Published by |
Springer, Cham, July 2022
|
| DOI | 10.1007/978-3-031-12409-9_6 |
| Book ISBNs |
978-3-03-112408-2, 978-3-03-112409-9
|
| Authors |
Wüthrich, Mario V., Merz, Michael |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 33% |
| Lecturer | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 33% |
| Chemistry | 1 | 33% |
| Unknown | 1 | 33% |