scispace - formally typeset
Search or ask a question
Institution

New York University

EducationNew York, New York, United States
About: New York University is a education organization based out in New York, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 72380 authors who have published 165545 publications receiving 8334030 citations. The organization is also known as: NYU & University of the City of New York.


Papers
More filters
Journal ArticleDOI
TL;DR: This document introduces a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010).
Abstract: We introduce a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The code is open source and has already been used in several published projects in the astrophysics literature. The algorithm behind emcee has several advantages over traditional MCMC sampling methods and it has excellent performance as measured by the autocorrelation time (or function calls per independent sample). One major advantage of the algorithm is that it requires hand-tuning of only 1 or 2 parameters compared to $\sim N^2$ for a traditional algorithm in an N-dimensional parameter space. In this document, we describe the algorithm and the details of our implementation and API. Exploiting the parallelism of the ensemble method, emcee permits any user to take advantage of multiple CPU cores without extra effort. The code is available online at this http URL under the MIT License.

5,293 citations

Journal ArticleDOI
TL;DR: A survey of the top three political science journals from 1998 to 2002 suggests that the execution of these models is often flawed and inferential errors are common as discussed by the authors, and that scholars follow the simple checklist of dos and don'ts for using multiplicative interaction models presented in this article.
Abstract: Multiplicative interaction models are common in the quantitative political science literature. This is so for good reason. Institutional arguments frequently imply that the relationship between political inputs and outcomes varies depending on the institutional context. Models of strategic interaction typically produce conditional hypotheses as well. Although conditional hypotheses are ubiquitous in political science and multiplicative interaction models have been found to capture their intuition quite well, a survey of the top three political science journals from 1998 to 2002 suggests that the execution of these models is often flawed and inferential errors are common. We believe that considerable progress in our understanding of the political world can occur if scholars follow the simple checklist of dos and don'ts for using multiplicative interaction models presented in this article. Only 10% of the articles in our survey followed the checklist.

5,235 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provide a basic set of guidelines and recommendations for information that should be included in any manuscript that has confirmatory factor analysis or structural equation modeling as the primary statistical analysis technique.
Abstract: The authors provide a basic set of guidelines and recommendations for information that should be included in any manuscript that has confirmatory factor analysis or structural equation modeling as the primary statistical analysis technique. The authors provide an introduction to both techniques, along with sample analyses, recommendations for reporting, evaluation of articles in The Journal of Educational Research using these techniques, and concluding remarks.

5,221 citations

Posted Content
TL;DR: Kirzner as discussed by the authors argues that the assumption of perfect knowledge is unrealistic and argues that every market participant is a potential entrepreneur who can exploit a situation, which depends on a lack of perfect information among the market participants.
Abstract: Kirzner, writing from a neo-Austrian economic perspective that is inherently dynamic with an emphasis on action over time, offers a critique of the prevailing positivistic, value freedom of orthodox microeconomics and price theory, focusing on what he believes is its unrealistic emphasis on static equilibrium analysis. Kirzner criticizes the methodology of Robbinsian equililbrium analysis in which a competitive market is a situation in which buyers and sellers have perfect knowledge and in which decision-making is mechanical and its solutions given. This analysis, according to Kirzner, eliminates all consideration of the competitive process and of entrepreneurship (which is synonymous, for him, with competitive activity); the assumption of perfect knowledge is unrealistic. He offers a full elaboration of the Mises-Hayek view of entrepreneurship and competition as a process based on von Mises' idea of "human action" rather than Marshall's idea of economizing. Kirzner sees the entrepreneur as always alert to information and propelling the system forward by seeking out price discrepancies as opportunities for profit. This process depends not on impulses from technology or genius; rather every market participant is a potential entrepreneur who can exploit a situation, which depends on a lack of perfect knowledge among the market participants. Entrepreneurial activity is always competitive; and competitive activity is always entrepreneurial. Kirzner is thus also a critique of the Schumpeterian view of entrepreneurship as disrupter of equilibrium; rather the entrepreneur removes disequilibrium in a short-run movement to an equilibrium position. A Kirznerian entrepreneur is a decision-maker whose entire role arises from alertness to unnoticed opportunities or knowledge about market data. Within the context of entrepreneurial activity, he offers a neo-Austrian redefinition of the concept of monopoly and competition. Since for Kirzner entrepreneurship involves no element of resource ownership, monopoly is defined as the impact of input ownership on the competitive process, and not the shape of the demand curve facing a firm. A monopoly position can be won by an alert entrepreneur. In the light of his theory of competition, Kirzner provides a new theoretical place for advertising and selling costs. Advertising, which promotes and calls attention to product differentiation, is the "weapon" of competition, which allows competitive-entrepreneurial adjustments in the type of products placed in the market in disequilibrium. Kirzner's revaluation of advertising is thus opposed to the idea of advertising as a social waste. Kirzner also offers a new conception of economic welfare based on the "coordination-of-knowledge-and-actions" instead of the orthodox "allocation of social resources" standard. (TNM)

5,214 citations

Journal ArticleDOI
Gregory A. Roth1, Gregory A. Roth2, Degu Abate3, Kalkidan Hassen Abate4  +1025 moreInstitutions (333)
TL;DR: Non-communicable diseases comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5–74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional causes accounted for 18·6% (17·9–19·6), and injuries 8·0% (7·7–8·2).

5,211 citations


Authors

Showing all 73237 results

NameH-indexPapersCitations
Rob Knight2011061253207
Virginia M.-Y. Lee194993148820
Frank E. Speizer193636135891
Stephen V. Faraone1881427140298
Eric R. Kandel184603113560
Andrei Shleifer171514271880
Eliezer Masliah170982127818
Roderick T. Bronson169679107702
Timothy A. Springer167669122421
Alvaro Pascual-Leone16596998251
Nora D. Volkow165958107463
Dennis R. Burton16468390959
Charles N. Serhan15872884810
Giacomo Bruno1581687124368
Tomas Hökfelt158103395979
Network Information
Related Institutions (5)
University of Pennsylvania
257.6K papers, 14.1M citations

98% related

Columbia University
224K papers, 12.8M citations

98% related

Yale University
220.6K papers, 12.8M citations

97% related

Harvard University
530.3K papers, 38.1M citations

97% related

University of Washington
305.5K papers, 17.7M citations

96% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023245
20221,205
20218,761
20209,108
20198,417
20187,680