scholarly journals Recent advances in shrinkage-based high-dimensional inference

2021 ◽  
pp. 104826
Author(s):  
Olha Bodnar ◽  
Taras Bodnar ◽  
Nestor Parolya
Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 580
Author(s):  
Francisco J. G. Silva

Though new manufacturing processes that revolutionize the landscape regarding the rapid manufacture of parts have recently emerged, the machining process remains alive and up-to-date in this context, always presenting itself as a manufacturing process with several variants and allowing for high dimensional accuracy and high levels of surface finish [...]


2019 ◽  
Vol 65 (10) ◽  
pp. 6539-6560 ◽  
Author(s):  
Tamir Hazan ◽  
Francesco Orabona ◽  
Anand D. Sarwate ◽  
Subhransu Maji ◽  
Tommi S. Jaakkola

2005 ◽  
Vol 19 (15n17) ◽  
pp. 2877-2885 ◽  
Author(s):  
DAVID J. WALES

Calculations of structure, dynamics and thermodynamics in molecular science all rely on the underlying potential energy surface (PES). Recent advances allow us to visualise this high-dimensional object in a compact fashion, locate global minima efficiently, and sample multistep pathways to obtain rate constants. These methods have been applied to a wide variety of systems, including clusters, glasses and biomolecules, and enable us to treat dynamics on the experimental timescale and beyond.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Stefano Sarao Mannelli ◽  
Giulio Biroli ◽  
Chiara Cammarota ◽  
Florent Krzakala ◽  
Pierfrancesco Urbani ◽  
...  

Econometrica ◽  
2019 ◽  
Vol 87 (4) ◽  
pp. 1307-1340 ◽  
Author(s):  
Matthew Gentzkow ◽  
Jesse M. Shapiro ◽  
Matt Taddy

We study the problem of measuring group differences in choices when the dimensionality of the choice set is large. We show that standard approaches suffer from a severe finite‐sample bias, and we propose an estimator that applies recent advances in machine learning to address this bias. We apply this method to measure trends in the partisanship of congressional speech from 1873 to 2016, defining partisanship to be the ease with which an observer could infer a congressperson's party from a single utterance. Our estimates imply that partisanship is far greater in recent years than in the past, and that it increased sharply in the early 1990s after remaining low and relatively constant over the preceding century.


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