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D. McDonald

18 papers hereh-index 12403 citations30 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author7
  • middle author1
  • last author9

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • math.ST6
  • stat.ML6
  • stat.ME4
  • stat.AP2
same name
  • D. Mcdonald — 53 papers, h 56
  • D. Mcdonald — 27 papers
  • D. McDonald — 25 papers
  • D. McDonald — 8 papers
  • D. McDonald — 6 papers, h 15
  • D. McDonald — 5 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112022
most citedEstimating beta-mixing coefficients via histograms

19 citations · 94 across the 16 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

stat.AP2022★ 1 cited

Empirical Macroeconomics and DSGE Modeling in Statistical Perspective

Daniel J. McDonald, Cosma Rohilla Shalizi

Dynamic stochastic general equilibrium (DSGE) models have been an ubiquitous, and controversial, part of macroeconomics for decades. In this paper, we approach DSGEs purely as stat…

math.ST2022★ 2 cited

Exponential Family Trend Filtering on Lattices

Veeranjaneyulu Sadhanala, Robert Bassett, James Sharpnack +1

Trend filtering is a modern approach to nonparametric regression that is more adaptive to local smoothness than splines or similar basis procedures. Existing analyses of trend filt…

stat.ME2022★ 12 cited

sparsegl: An R Package for Estimating Sparse Group Lasso

Xiaoxuan Liang, Aaron Cohen, Anibal Solón Heinsfeld +2

The sparse group lasso is a high-dimensional regression technique that is useful for problems whose predictors have a naturally grouped structure and where sparsity is encouraged a…

stat.ME2022

Smooth multi-period forecasting with application to prediction of COVID-19 cases

Elena Tuzhilina, Trevor J. Hastie, Daniel J. McDonald +2

Forecasting methodologies have always attracted a lot of attention and have become an especially hot topic since the beginning of the COVID-19 pandemic. In this paper we consider t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.