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pro vyhledávání: '"Griffin, Maryclare"'
Autor:
Griffin, Maryclare
Penalized and robust regression, especially when approached from a Bayesian perspective, can involve the problem of simulating a random variable $\boldsymbol z$ from a posterior distribution that includes a term proportional to a sum of powers, $\|\b
Externí odkaz:
http://arxiv.org/abs/2408.01617
The ability to interpret machine learning models has become increasingly important as their usage in data science continues to rise. Most current interpretability methods are optimized to work on either (\textit{i}) a global scale, where the goal is
Externí odkaz:
http://arxiv.org/abs/2302.02024
Autor:
Griffin, Maryclare
Pathwise coordinate descent algorithms have been used to compute entire solution paths for lasso and other penalized regression problems quickly with great success. They improve upon cold start algorithms by solving the problems that make up the solu
Externí odkaz:
http://arxiv.org/abs/2203.02596
Lightning is a destructive and highly visible product of severe storms, yet there is still much to be learned about the conditions under which lightning is most likely to occur. The GOES-16 and GOES-17 satellites, launched in 2016 and 2018 by NOAA an
Externí odkaz:
http://arxiv.org/abs/2111.15670
Publikováno v:
In Computational Statistics and Data Analysis June 2024 194
We make an observation that facilitates exact likelihood-based inference for the parameters of the popular ARFIMA model without requiring stationarity by allowing the upper bound $\bar{d}$ for the memory parameter $d$ to exceed $0.5$. We observe that
Externí odkaz:
http://arxiv.org/abs/2011.04168
Modeling a Nonlinear Biophysical Trend Followed by Long-Memory Equilibrium with Unknown Change Point
Measurements of many biological processes are characterized by an initial trend period followed by an equilibrium period. Scientists may wish to quantify features of the two periods, as well as the timing of the change point. Specifically, we are mot
Externí odkaz:
http://arxiv.org/abs/2007.09417
Autor:
Griffin, Maryclare, Hoff, Peter D.
In many regression settings the unknown coefficients may have some known structure, for instance they may be ordered in space or correspond to a vectorized matrix or tensor. At the same time, the unknown coefficients may be sparse, with many nearly o
Externí odkaz:
http://arxiv.org/abs/1902.05106
Autor:
Griffin, Maryclare, Hoff, Peter D.
Many penalized maximum likelihood estimators correspond to posterior mode estimators under specific prior distributions. Appropriateness of a particular class of penalty functions can therefore be interpreted as the appropriateness of a prior for the
Externí odkaz:
http://arxiv.org/abs/1712.06230
Autor:
Griffin, Maryclare, Hoff, Peter D.
Consider the problem of estimating the entries of an unknown mean matrix or tensor given a single noisy realization. In the matrix case, this problem can be addressed by decomposing the mean matrix into a component that is additive in the rows and co
Externí odkaz:
http://arxiv.org/abs/1703.08620