Filters








11,433 Hits in 5.3 sec

Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth [article]

Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer Dy, John Meeker, Ingrid Y. Padilla, Jose Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh (+1 others)
2020 arXiv   pre-print
We investigate analytical models addressing two major challenges present in the dataset: 1) the significant amount of incomplete data in the dataset, and 2) class imbalance in the dataset.  ...  First, we leverage and compare two types of missing data imputation methods: 1) mean-based and 2) similarity-based, increasing the completeness of this dataset.  ...  ACKNOWLEDGMENT The work presented in this paper is supported in part by NIEHS P42 Program award P42ES017198, and NSF awards OAC-1559894 and IIS-1546428.  ... 
arXiv:2009.11242v1 fatcat:dpcw7zf22rcmzd3jnz3wgoayea

Geoadditive models

E. E. Kammann, M. P. Wand
2003 Journal of the Royal Statistical Society, Series C: Applied Statistics  
The resulting mixed model representation for the geoadditive model allows for fitting and diagnosis using standard methodology and software.  ...  To account for such effects properly we merge kriging with additive models to obtain what we call geoadditive models. The merging becomes effortless by expressing both as linear mixed models.  ...  The paper has benefited from discussions with Jonathan French, Michael O'Connell, Doug Nychka, Louise Ryan and Lance Waller, and insightful comments from the reviewers. The research of E. E.  ... 
doi:10.1111/1467-9876.00385 fatcat:q4yexhqg4bdmtjxscwvqcuxbwu

Leveraging Multiple Machine-Learning Techniques to Predict Major Life Outcomes from a Small Set of Psychological and Socioeconomic Variables: A Combined Bottom-up/Top-down Approach

Drew M. Altschul
2019 Socius Sociological Research for a Dynamic World  
Using generalized boosted models, random forests, and elastic net regression models, these analyses identified a consistent set of psychological and socioeconomic factors that yielded strong prediction  ...  Predicting longitudinal outcomes from thousands of variables across multiple waves provides impressive opportunities to identify variables of importance, but what is the most efficient way to carry out  ...  R01HD39135, and R01HD40421 and by a consortium of private foundations, including the Robert Wood Johnson Foundation.  ... 
doi:10.1177/2378023118819943 fatcat:oam7e6zw2vd75d323gpctm3lpu

The Leverage Ratchet Effect

Anat R. Admati, Peter M. DeMarzo, Martin F. Hellwig, Paul C. Pfleiderer
2013 Social Science Research Network  
Shareholders would instead choose to increase leverage even if the new debt is junior and would reduce firm value.  ...  These asymmetric forces in leverage adjustments, which we call the leverage ratchet effect, cause equilibrium leverage outcomes to be history-dependent.  ...  The ranking is reversed for leverage increasing transactions.  ... 
doi:10.2139/ssrn.2311197 fatcat:yjpnwdclcrcgrjkdmmcuauhr7i

The Leverage Ratchet Effect

Anat R. Admati, Peter M. DeMarzo, Martin F. Hellwig, Paul C. Pfleiderer
2013 Social Science Research Network  
Shareholders would instead choose to increase leverage even if the new debt is junior and would reduce firm value.  ...  These asymmetric forces in leverage adjustments, which we call the leverage ratchet effect, cause equilibrium leverage outcomes to be history-dependent.  ...  The ranking is reversed for leverage increasing transactions.  ... 
doi:10.2139/ssrn.2304969 fatcat:i2z75ipwbfajlluqcrfyxyucpy

Exceptional big linkers: Dutch evidence from the 20th century

Abe de Jong, Philip T. Fliers, Gerarda Westerhuis
2019 Business History  
Acknowledgements We thank the editor Stephanie Decker, two anonymous reviewers, Joost Jonker, Oscar Gelderblom, Chris Colvin, John Turner and workshop and seminar participants at European Group for Organizational  ...  Studies (Rotterdam, 2014), Queen's University Belfast, Erasmus University Rotterdam, Radboud University Nijmegen, and King's College for helpful comments.  ...  We include the r-squared and adjusted r-squared for all outcome variables, for models Table 7 . 7 Highest and lowest effect of big linkers for specific outcome variables. . 9.  ... 
doi:10.1080/00076791.2019.1676736 fatcat:hvhtpnzuozfdzb3ihmiozizr6m

Client Satisfaction Versus Profitability: An Empirical Analysis of the Impact of Formal Controls in Strategic Outsourcing Contracts [chapter]

Nishtha Langer, Deepa Mani, Kannan Srikanth
2014 Progress in IS  
Unlike in transactional outsourcing, where the vendor leverages scale economies to provide standardized services at reduced costs of ownership, client satisfaction in strategic outsourcing is contingent  ...  We find that activity controls are positively associated with client satisfaction and profitability; in contrast, our results present mixed evidence for capability controls, and negative impact for output  ...  These surveys are administered to clients via an external research partner; direct contact between the vendor and client is not allowed.  ... 
doi:10.1007/978-3-662-43820-6_4 fatcat:vuyb3zinkbfstklseycuinrbgm

Learning causal structure from mixed data with missing values using Gaussian copula models

Ruifei Cui, Perry Groot, Tom Heskes
2018 Statistics and computing  
First, we extend the 'Rank PC' algorithm, designed for Gaussian copula models with purely continuous data (so-called nonparanormal models), to incomplete data by applying rank correlation to pairwise complete  ...  These samples are translated into an average correlation matrix and an effective sample size, resulting in the 'Copula PC' algorithm for incomplete data.  ...  Acknowledgements We gratefully thank Hans Knoop for providing the chronic fatigue syndrome data and valuable discussions. Compliance with ethical standards  ... 
doi:10.1007/s11222-018-9810-x fatcat:uw7mg4spgzgp7cntaawy3gfdxy

Promoting de-implementation of inappropriate antimicrobial use in cardiac device procedures by expanding audit and feedback: protocol for hybrid III type effectiveness/implementation quasi-experimental study

Westyn Branch-Elliman, Rebecca Lamkin, Marlena Shin, Hillary J. Mull, Isabella Epshtein, Samuel Golenbock, Marin L. Schweizer, Kathryn Colborn, Jessica Rove, Judith M. Strymish, Dimitri Drekonja, Maria C. Rodriguez-Barradas (+2 others)
2022 Implementation Science  
Clinical outcomes (cardiac device infections, acute kidney injuries and Clostridioides difficile infections) are secondary.  ...  Qualitative interviews will assess relevant implementation outcomes (acceptability, adoption, fidelity, feasibility).  ...  Similar to the analysis of the implementation outcomes, incidence of key clinical outcomes will be measured pre-and postimplementation at each of the three sites, applying a generalized linear mixed model  ... 
doi:10.1186/s13012-022-01186-8 pmid:35093104 pmcid:PMC8800400 fatcat:tdbputoqf5c33b2y5fhjtiqxoe

Capital Versus Performance Covenants in Debt Contracts

HANS B. CHRISTENSEN, VALERI V. NIKOLAEV
2011 Journal of Accounting Research  
Building on contract theory, we argue that financial covenants control the conflicts of interest between lenders and borrowers via two different mechanisms.  ...  Performance covenants serve as trip wires that limit agency problems via the transfer of control to lenders in states where the value of their claim is at risk. Companies trade off these mechanisms.  ...  To reduce noise and achieve better comparability across measures, we rank observations into three groups.  ... 
doi:10.1111/j.1475-679x.2011.00432.x fatcat:mwt3ymswf5bkjhyvcknxueudxe

Citizen science reveals unexpected solute patterns in semiarid river networks

Erin Fleming Jones, Rebecca J. Frei, Raymond M. Lee, Jordan D. Maxwell, Rhetta Shoemaker, Andrew P. Follett, Gabriella M. Lawson, Madeleine Malmfeldt, Rachel Watts, Zachary T. Aanderud, Carter Allred, Allison Tuttle Asay (+20 others)
2021 PLoS ONE  
For most solutes, concentration and leverage (influence on flux) were highest in lowland reaches draining directly to the lake, coincident with urban and agricultural sources.  ...  We conclude that participatory science has great potential to reveal ecohydrological patterns and rehabilitate individual and community relationships with local ecosystems.  ...  We recognize and thank all the participants and volunteers throughout 2018 and 2019, without whom this project would not have been possible.  ... 
doi:10.1371/journal.pone.0255411 pmid:34411107 pmcid:PMC8376020 fatcat:5lwrrayglzh2fpa33ttntlu6xq

A practical and efficient approach for Bayesian quantum state estimation

Joseph Lukens, Kody Law, Ajay Jasra, Pavel Lougovski
2020 New Journal of Physics  
Leveraging advances in machine learning and statistics, our formulation relies on highly efficient preconditioned Crank-Nicolson sampling and a pseudo-likelihood.  ...  We theoretically analyze the computational cost, and provide explicit examples of inference for both actual and simulated datasets, illustrating improved performance with respect to existing approaches  ...  Acknowledgments We thank R S Bennink and B P Williams for discussions. This work was funded by the U.S.  ... 
doi:10.1088/1367-2630/ab8efa fatcat:6avhsmfykfe3hj5sedaua7w5ya

Minsky's Financial Instability Hypothesis and the Leverage Cycle

Sudipto Bhattacharya, Dimitrios P. Tsomocos, Charles A.E. Goodhart, Alexandros Vardoulakis
2011 Social Science Research Network  
Financial institutions increase their leverage and shift their portfolios towards projects that were previously considered risky.  ...  We explore the relative advantages of alternative regulations in reducing financial fragility, and suggest a novel criterion.  ...  The leverage cycle has been studied by Geanakoplos (2003 Geanakoplos ( , 2010 and Fostel and Geanakoplos (2008) via the modelling of collateralised loans.  ... 
doi:10.2139/ssrn.1773946 fatcat:ad2jk6s2rfec3bxogpmmqmezfy

A practical and efficient approach for Bayesian quantum state estimation [article]

Joseph M. Lukens, Kody J. H. Law, Ajay Jasra, Pavel Lougovski
2020 arXiv   pre-print
Leveraging advances in machine learning and statistics, our formulation relies on highly efficient preconditioned Crank--Nicolson sampling and a pseudo-likelihood.  ...  We theoretically analyze the computational cost, and provide explicit examples of inference for both actual and simulated datasets, illustrating improved performance with respect to existing approaches  ...  [8] , is specified by one user-adjustable value, α, which can be used to favor low-or high-rank ρ, i.e., pure or mixed states, respectively.  ... 
arXiv:2002.10354v1 fatcat:ar5dflhjrfhxjmmqp6o4zq5ysq

Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models [article]

Gen Li, Xiaokang Liu, Kun Chen
2018 arXiv   pre-print
We cast this new problem under the familiar multivariate regression framework and propose an integrative reduced-rank regression (iRRR), where each view has its own low-rank coefficient matrix.  ...  For model estimation, we develop a convex composite nuclear norm penalization approach, which admits an efficient algorithm via alternating direction method of multipliers.  ...  The model setting strikes a balance between flexibility and parsimony, as it nicely bridges two seemingly quite different model classes: reduced-rank and group-sparse models.  ... 
arXiv:1807.10375v1 fatcat:xpvvew4v2fhn3ntyadj44b36fm
« Previous Showing results 1 — 15 out of 11,433 results