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- 2021
-
Mark
Efficient methods for Gaussian Markov random fields under sparse linear constraints
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A brief note on understanding neural networks as Gaussian processes
2021)(
- Working paper/Preprint › Preprint in preprint archive
-
Mark
The Schelling model on Z
(
- Contribution to journal › Article
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Mark
Look-Ahead Screening Rules for the Lasso
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Non-Standard Errors
2021) In Working Papers(
- Working paper/Preprint › Working paper
-
Mark
The tenets of indirect inference in Bayesian models
2021)(
- Other contribution › Miscellaneous
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Mark
Biased random k‐SAT
(
- Contribution to journal › Article
-
Mark
Robust analysis of uncertainty in scientific assessments
2021)(
- Thesis › Doctoral thesis (compilation)
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Mark
Bayesian ode solvers: The maximum a posteriori estimate
(
- Contribution to journal › Article
-
Mark
L’aderenza dei centri antiviolenza ai requisiti minimi dell’Intesa Stato-Regioni: questioni metodologiche
2021) p.201-220(
- Chapter in Book/Report/Conference proceeding › Book chapter