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Loose Commitment

Davide Debortoli, Ricardo Cavaco Nunes
2007 Social Science Research Network  
There may be several interpretations for the loose commitment settings just described.  ...  The loose commitment framework clearly requires a departure from the timeless perspective.  ... 
doi:10.2139/ssrn.903122 fatcat:lh3uefrmmnbvbpjj557dkunsoy

Random Loose Packing in Granular Matter

David Aristoff, Charles Radin
2009 Journal of statistical physics  
The model exhibits a perfectly sharp random loose packing density, a phenomenon that should be verifiable for real granular matter.  ...  Our main goal here is to analyze this question with respect to random loose packing, to determine whether or not traditional theoretical approaches to granular matter predict a sharply defined random loose  ...  This is our main result, since it shows how to make sense of a perfectly well-defined random loose packing density within a granular model of the standard Edwards' form.  ... 
doi:10.1007/s10955-009-9722-4 fatcat:bddgx5uduvep3nogbj3plslqre

Fiscal policy under loose commitment

Davide Debortoli, Ricardo Nunes
2010 Journal of Economic Theory  
In this loose commitment setting, the properties of labor and capital income taxes are significantly different than under the full-commitment and no-commitment assumptions.  ...  Loose Com. No-Com. π = .75 π = .5 π = .25 Table 4 : 4 Welfare gains from commitment Full-Com. Loose Com. No-Com.  ...  This is of particular interest in a loose commitment setting.  ... 
doi:10.1016/j.jet.2009.10.003 fatcat:bpjsek2k25hx3d5vmdc2couemq

Is facial recognition too biased to be let loose?

Davide Castelvecchi
2020 Nature  
By Davide Castelvecchi Concerns over demographic bias have since been quoted frequently in calls for moratoriums or bans of facial-recognition software.  ...  Davide Castelvecchi reports for Nature from London. Additional reporting by Antoaneta Roussi and Richard Van Noorden. © 2 0 2 0 S p r i n g e r N a t u r e L i m i t e d .  ... 
doi:10.1038/d41586-020-03186-4 pmid:33208976 fatcat:mxmabjg3kbgghlnvpqqke4yn4m

Loose Ends for the Exomoon Candidate Host Kepler-1625b [article]

Alex Teachey, David Kipping, Christopher J. Burke, Ruth Angus, and Andrew W. Howard
2019 arXiv   pre-print
The claim of an exomoon candidate in the Kepler-1625b system has generated substantial discussion regarding possible alternative explanations for the purported signal. In this work we examine in detail these possibilities. First, the effect of more flexible trend models is explored and we show that sufficiently flexible models are capable of attenuating the signal, although this is an expected byproduct of invoking such models. We also explore trend models using X and Y centroid positions and
more » ... ow that there is no data-driven impetus to adopt such models over temporal ones. We quantify the probability that the 500 ppm moon-like dip could be caused by a Neptune-sized transiting planet to be < 0.75 nor a Lomb-Scargle periodogram are able to recover a stellar rotation period, demonstrating that K1625 is a quiet star with periodic behavior < 200 ppm. Through injection and recovery tests, we find that the star does not exhibit a tendency to introduce false-positive dip-like features above that of pure Gaussian noise. Finally, we address a recent re-analysis by Kreidberg et al (2019) and show that the difference in conclusions is not from differing systematics models but rather the reduction itself. We show that their reduction exhibits i) slightly higher intra-orbit and post-fit residual scatter, ii) ≃ 900 ppm larger flux offset at the visit change, iii) ≃ 2 times larger Y-centroid variations, and iv) ≃ 3.5 times stronger flux-centroid correlation coefficient than the original analysis. These points could be explained by larger systematics in their reduction, potentially impacting their conclusions.
arXiv:1904.11896v1 fatcat:ojuw6dlq6be6pogge6na25qdqu

Loose Bottoms on Her Blouse: A Postscript

David Hamilton
1978 Iowa Review : literary quarterly  
Shapiro, David Wagoner, John Engels, and, next volume.  ...  LOOSE BOTTOMS ON HER BLOUSE . a Postscript As we bring this first year of our editorship to a close, we must, at the very least, laugh at ourselves.  ... 
doi:10.17077/0021-065x.2406 fatcat:gc7ltropo5bqdmg3vw2al5inya

Loose Canons: Statutory Construction and the New Nondelegation Doctrine

David M. Driesen
2002 Social Science Research Network  
But their defects are very similar to the defects that Sunstein (and many others) recognize in the nondelegation doctrine. 217 In any case, Sunstein's loose canons are not shooting at the nondelegation  ... 
doi:10.2139/ssrn.315640 fatcat:uygtzqjarneizmpvkalbd4llvu

What do loose groups tell us about galaxy formation? [article]

D.J. Pisano, David Barnes, Brad Gibson, Virginia Kilborn, Lister Staveley-Smith, Ken Freeman
2004 arXiv   pre-print
We present the results of a Parkes Multibeam HI survey of six loose groups of galaxies analogous to the Local Group.  ...  explains the decline in numbers across the last four bins for the loose groups.  ...  Figure 1 shows the HIMF of the Local Group and the sum of the six loose groups we observed.  ... 
arXiv:astro-ph/0412385v1 fatcat:e3hfmuh6d5g4xdofurx34fg2qe

Loose Talk and the Evolution of Language: Comment on Gatewood's Thesis

David W. Murray
1984 American Anthropologist  
Loose Talk and the Evolution of Language: Comment on Gatewood’s Thesis DAVID W.  ...  Reply to Murray Concerning Loose Talk JOHN B. GATEWOOD Lehigh University David W. Murray’s comments on my “Loose Talk” paper (AA 85:378-387, 1983) raise some interesting issues.  ... 
doi:10.1525/aa.1984.86.3.02a00120 fatcat:fxg2hcbps5b3por62qhmrxg2im

LOOSE COMMITMENT IN MEDIUM-SCALE MACROECONOMIC MODELS: THEORY AND APPLICATIONS

Davide Debortoli, Junior Maih, Ricardo Nunes
2012 Macroeconomic Dynamics  
This approach has been labeled quasi-commitment or loose commitment. Several questions can be addressed with the loose commitment approach. What are the gains of achieving more credibility?  ...  In addition, a loose commitment approach nests the full-commitment and discretion cases.  ... 
doi:10.1017/s1365100512000326 fatcat:clfyocotizg3vna6oxcovgctl4

The Pinochet precedent and the "Garzón effect": on catalysts, contestation and loose ends

David Sugarman
2012 Amicus Curiae  
Working through the implications, unfinished business and loose ends arising from seminal cases, like the Pinochet case, tends to be a long and complex affair.  ...  Indeed none of this lets Spain (or Britain) off the hook, or detracts from our duty to investigate and prosecute major human rights abusers. & Professor David Sugarman Law School, Lancaster University  ... 
doi:10.14296/ac.v2002i42.1282 fatcat:kqkimqcapjgqzbgsvqlwp6gjru

Loose Coupling and Healthcare Organizations: Deployment Strategies for Groupware

David Pinelle, Carl Gutwin
2006 Computer Supported Cooperative Work (CSCW)  
Healthcare organizations are often organized in a modular, loosely coupled fashion where separate and semi-autonomous work units specialize in different areas of care delivery.  ...  The deployment strategies outline a preliminary set of approaches for addressing the difficulties of deploying CSCW systems in loosely coupled healthcare organizations.  ...  In loosely-coupled settings, critical mass can be a particular problem.  ... 
doi:10.1007/s10606-006-9031-2 fatcat:oh4zlwlrqnhjncfhnwb6jm4hsu

Newton-Krylov Algorithm with a Loosely Coupled Turbulence Model for Aerodynamic Flows

Max Blanco, David W. Zingg
2007 AIAA Journal  
The model of Spalart and Allmaras provides the turbulent viscosity and is loosely coupled to the mean-flow equations.  ...  We demonstrate that a loosely coupled algorithm is effective and has some advantages, such as reduced storage requirements and smoother transient oscillations.  ...  Optimization of Loosely Coupled Algorithm A.  ... 
doi:10.2514/1.22972 fatcat:vpxmje2jjbdgvcvgzhgo7lbp6a

Multimodal Learning in Loosely-Organized Web Images

Kun Duan, David J. Crandall, Dhruv Batra
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
In this paper, we propose a framework to model these "loosely organized" multimodal datasets, and show how to perform looselysupervised learning using a novel latent Conditional Random Field framework.  ...  Loosely Supervised Multimodal Learning We now present our approach for loosely supervised clustering in datasets with multimodal, sparse features.  ...  Loose supervision. We used small labeled subsets of different sizes to evaluate the loosely supervised paradigm, and evaluate using classification accuracy.  ... 
doi:10.1109/cvpr.2014.316 dblp:conf/cvpr/DuanCB14 fatcat:ddg2rdsvqjdzjcjf7qsr4prhui

Loose Commitment in Medium-Scale Macroeconomic Models: Theory and an Application

Davide Debortoli, Junior Maih, Ricardo Cavaco Nunes
2010 Social Science Research Network  
TABLE 2 . 2 Effects of loose commitment on second moments Model Loose comm. U.S. Data Full comm. γ = 0.9 Discr.  ...  This approach has been labeled quasi-commitment or loose commitment. Several questions can be addressed with the loose commitment approach. What are the gains of achieving more credibility?  ... 
doi:10.2139/ssrn.1735395 fatcat:gssqltuxabgyplk6lignztvtky
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