5,635 research outputs found
Pilot Study of Psychopathology Among Roman Catholic Secular Clergy
This pilot study gathered information regarding overall levels of psychopathology in a nationally selected, random sample of U.S. Roman Catholic secular (i.e., diocesan) priests using the Symptom Checklist-90-Revised (SCL-90-R; Derogatis, 2004). The study yielded a response rate of 45%. One-half of the participants reported marked psychological problems, with interpersonal sensitivity, anxiety, and depression most strongly correlated with the instrument’s overall index of psychopathology. Four dimensional scales were elevated (i.e., obsessive-compulsive, interpersonal sensitivity, depression, psychoticism), as were two indices (i.e., GSI, PST). Implications and directions for future research are discussed
L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework
Despite the importance of sparsity in many large-scale applications, there
are few methods for distributed optimization of sparsity-inducing objectives.
In this paper, we present a communication-efficient framework for
L1-regularized optimization in the distributed environment. By viewing
classical objectives in a more general primal-dual setting, we develop a new
class of methods that can be efficiently distributed and applied to common
sparsity-inducing models, such as Lasso, sparse logistic regression, and
elastic net-regularized problems. We provide theoretical convergence guarantees
for our framework, and demonstrate its efficiency and flexibility with a
thorough experimental comparison on Amazon EC2. Our proposed framework yields
speedups of up to 50x as compared to current state-of-the-art methods for
distributed L1-regularized optimization
Assessing the Frontiers of Ultra-Poverty Reduction: Evidence from CFPR/TUP, an Innovative Program in Bangladesh
This paper uses household panel data to provide robust evidence on the effects of BRAC’s Targeting the Ultra-poor Program in Bangladesh. Our identification strategy exploits type-1 errors in assignment, comparing households correctly included with those incorrectly excluded, according to program criteria. Evidence from difference-in-difference matching and sensitivity analysis shows that participation had significant positive effects on income, food consumption and security, household durables, and livestock, but no robust impact on health, ownership of homestead land, housing quality and other productive assets. Using quantile difference-in-difference, we find that the income gains from program participation is smaller for the lowest two deciles.Ultra-poor, CFPR/TUP, BRAC, Bangladesh, Microfinance, Bangladesh, Assignment Error, Difference-in-Difference, Matching, Heteroskedasticity-Based Identification
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