Article
Computer Science, Interdisciplinary Applications
Ricardo A. Olea
Summary: Preferential sampling can distort spatially correlated data, but this paper proposes a resampling method to compensate for its effects. The method generates a dataset of median estimates of quantiles from multiple stratified resamples to eliminate preferential sampling bias. Two examples demonstrate the effectiveness of the method, one involving field measurements and the other using synthetic data.
COMPUTERS & GEOSCIENCES
(2021)
Article
Management
Hongwei Bi, Wei Zhu
Summary: This paper provides a novel characterization of decision makers' nonmonotonic risk preferences. It establishes a framework using decision makers' choices between binary lotteries and demonstrates the relationships between the characterized preferences and non-integer stochastic dominance. The paper also proposes a new type of almost stochastic dominance and presents a method to experimentally elicit nonmonotonic risk preferences.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Automation & Control Systems
Arkaprava Banerjee, Kunal Roy
Summary: Recently, a new concept called quantitative Read-Across Structure-Activity Relationship (q-RASAR) has been introduced to improve the predictivity of models in quantitative structure-activity relationship (QSAR) modeling by using machine learning similarity functions. In this study, the q-RASAR approach is applied to predict hERG K+ channel inhibition cardiotoxicity using curated data from literature. The resulting models show enhanced predictivity and can be used for quick screening of molecules for cardiotoxic potential in the drug discovery pipeline.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Medicine, General & Internal
Ziyu Liu, Fahad M. Al Amer, Mengli Xiao, Chang Xu, Luis Furuya-Kanamori, Hwanhee Hong, Lianne Siegel, Lifeng Lin
Summary: This study examined the validity of the assumption of between-study normality in published meta-analyses. The results showed that this assumption is commonly violated and alternative methods should be considered.
Article
Business, Finance
Sree Vinutha Venkataraman, S. V. D. Nageswara Rao
Summary: The comparison of investments under the third-order stochastic dominance is essential, and a new method is proposed to test for third-order efficiency, finding several funds that are superior to benchmark indices.
INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS
(2023)
Article
Engineering, Multidisciplinary
Yingming Chen, Xiaohui Li, Luxi Huang, Xin Wang, Changhong Liu, Fan Zhao, Yu Hua, Ping Feng
Summary: This paper presents the uncertainty evaluation of BPL long wave time service monitoring based on the GUM method. The applicability of the GUM method was considered and a complete monitoring model was established. The uncertainty sources were analyzed using Type A and Type B evaluation, and the bootstrap method was used to verify the uncertainty evaluation. The results of this work provide a useful reference for evaluating the uncertainty in other land-based time service systems.
Article
Management
Yi-Chieh Huang, Kamhon Kan, Larry Y. Tzeng, Kili C. Wang
Summary: This study estimates the acceptable violation ratio of stochastic dominance rules using real-world data on deductible choices in automobile theft insurance, finding that most policyholders accept a very small violation ratio, close to zero.
MANAGEMENT SCIENCE
(2021)
Article
Mathematics, Applied
Hoover H. F. Yin, Xishi Wang, Hugo Wai Leung Mak, Chun Sang Au Yong, Ian Y. Y. Chan
Summary: This paper defines a stochastic dominance (SD) relation from the perspectives of distributions and expected utilities. It develops a discrete analogue of fractional-order SD for discrete utilities, generalizes the order of SD using Lizama's fractional delta operator, and formulates utility classes congruent with the SD relations. The paper highlights the difference between discrete and continuous fractional-order SD and provides guidance for further applications in mathematics and computer science.
Article
Business, Finance
Liqun Liu, Jack Meyer
Summary: This paper introduces the concept of stochastic superiority and its relationship with stochastic dominance, demonstrating that stochastic superiority can provide more accurate rankings for random alternatives. A strong condition for stochastic superiority is shown to be necessary when preferences are risk averse.
JOURNAL OF RISK AND UNCERTAINTY
(2021)
Article
Business, Finance
Osamah M. AlKhazali, Hooi Hooi Lean, Ali Mirzaei, Taisier Zoubi
Summary: The study suggests that adding gold into oil portfolios can reduce portfolio risk and maximize expected utility. Therefore, risk-averse investors should consider including gold in their oil portfolios.
FINANCE RESEARCH LETTERS
(2021)
Article
Business
Haifeng Guo, Yuanjing Ge, Chuan-Hao Hsu, Hung-Gay Fung
Summary: The study finds that the Chinese IPO market is extremely overpriced, with IPOs performing worse on average than the secondary market, indicating investors have a higher likelihood of losing money by investing in newly listed IPOs.
EMERGING MARKETS FINANCE AND TRADE
(2021)
Article
Environmental Sciences
Mehmet Pinar
Summary: This paper examines the sensitivity of environmental performance rankings to subjective weights assigned to different indicators and categories. The findings demonstrate that alternative weights can lead to significant variations in ranking and highlights the importance of sensitivity analysis in composite indices.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Economics
Tzu-Ying Chen, An-Mei Tsai, Larry Y. Tzeng
Summary: In this paper, a new notion of almost marginal conditional stochastic dominance rule is proposed and implemented using linear programming. The application of this new rule is demonstrated by constructing a set of efficient portfolios.
QUARTERLY REVIEW OF ECONOMICS AND FINANCE
(2022)
Article
Economics
Xiaosheng Mu, Luciano Pomatto, Philipp Strack, Omer Tamuz
Summary: The study focuses on repeated independent Blackwell experiments, comparing their informativeness in large samples and showing that higher Renyi divergences make an experiment more informative. The analysis can be applied to measuring dissimilarity between distributions, with the useful property of Renyi divergences being additivity with respect to product distributions. The characterization of Blackwell dominance in large samples implies that any additive divergence satisfying the data processing inequality is an integral of Renyi divergences.
Article
Operations Research & Management Science
Mohd Azdi Maasar, Diana Roman, Paresh Date
Summary: This study focuses on mean-risk portfolio optimization models and explores symmetric and downside measures of risk. By including index options in the portfolio, both risk can be reduced and returns can be improved.
OPERATIONAL RESEARCH
(2022)
Article
Statistics & Probability
Noah N. N. van Dongen, Johnny B. van Doorn, Quentin F. Gronau, Don van Ravenzwaaij, Rink Hoekstra, Matthias N. Haucke, Daniel Lakens, Christian Hennig, Richard D. Morey, Saskia Homer, Andrew Gelman, Jan Sprenger, Eric-Jan Wagenmakers
AMERICAN STATISTICIAN
(2019)
Editorial Material
Psychology, Biological
Balazs Aczel, Rink Hoekstra, Andrew Gelman, Eric-Jan Wagenmakers, Irene G. Klugkist, Jeffrey N. Rouder, Joachim Vandekerckhove, Michael D. Lee, Richard D. Morey, Wolf Vanpaemel, Zoltan Dienes, Don van Ravenzwaaij
NATURE HUMAN BEHAVIOUR
(2020)
Editorial Material
Psychology, Biological
Hans IJzerman, Neil A. Lewis, Andrew K. Przybylski, Netta Weinstein, Lisa DeBruine, Stuart J. Ritchie, Simine Vazire, Patrick S. Forscher, Richard D. Morey, James D. Ivory, Farid Anvari
NATURE HUMAN BEHAVIOUR
(2020)
Editorial Material
Psychology, Biological
Richard M. Shiffrin, Dora Matzke, Jonathon D. Crystal, E. -J. Wagenmakers, Suyog H. Chandramouli, Joachim Vandekerckhove, Marco Zorzi, Richard D. Morey, Mary C. Murphy
Summary: Roberts (2020) discussed research on honeybees' ability to perform arithmetic, sparking a debate on publication standards for results that may be viewed as unlikely by readers, editors, or reviewers.
LEARNING & BEHAVIOR
(2021)
Article
Psychology, Multidisciplinary
Travis Proulx, Richard D. Morey
Summary: The quality of theories in psychology has declined over the years, leading to a reliance on statistical methods over theoretical rigor. Contemporary psychology is facing a crisis similar to that described by Paul Meehl, with psychologists often opting for synthetic certainties over theory-guided research. Recommendations are made for psychology to fully reengage with theory-based science.
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE
(2021)
Article
Psychology, Multidisciplinary
Julia M. Haaf, Jeffrey N. Rouder
Summary: The primary goal of conducting a meta-analysis is to estimate the true effect size across a collection of studies. However, when the analyzed studies have qualitatively different results, the average effect may be a product of different mechanisms and therefore uninterpretable. To address this issue, it is important to determine whether all studies show an effect in the same expected direction. This can be achieved by using a model with multiple ordinal constraints and comparing it to alternative models. If the ordinal constraints hold, it suggests the existence of an underlying mechanism that explains the results from all studies, making the average effects interpretable.
PSYCHOLOGICAL METHODS
(2023)
Editorial Material
Psychology, Multidisciplinary
Klaus Fiedler, Mirta Galesic, Leonel Garcia-Marques, Aparna Labroo, Tina M. Lowrey, Richard D. Morey, Timothy J. Pleskac
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE
(2022)
Article
Education & Educational Research
Barbara W. Sarnecka, Paulina N. Silva, Jeff Coon, Darby C. Vickers, Rena B. Goldstein, Jeffrey N. Rouder
Summary: This study examines the improvement of doctoral students' writing ability through a five-week writing workshop intervention, preceded or followed by a waiting period or a maintenance period of the same length. The results show that participants in the workshop developed a greater interest in writing, found it easier, and gained more confidence as academic writers. Additionally, they engaged in more effective research planning and engaged in more reflection and positive thinking during the writing process. This study highlights the importance of this writing intervention in enhancing doctoral students' academic writing skills.
INNOVATIVE HIGHER EDUCATION
(2022)
Article
Psychology
Don van den Bergh, Julia M. Haaf, Alexander Ly, Jeffrey N. Rouder, Eric-Jan Wagenmakers
Summary: A popular approach to statistical inference is estimation of effect size, but it often ignores the existence of null hypothesis. A spike-and-slab model offers a more precise estimation of effect size by explicitly incorporating the plausibility of the null hypothesis.
ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE
(2021)
Article
Psychology, Multidisciplinary
Donald R. Williams, Joris Mulder, Jeffrey N. Rouder, Philippe Rast
Summary: Mixed-effects models are increasingly common in psychological science and offer untapped potential for gaining richer understanding of psychological processes. By estimating mixed-effects submodels to both the mean and within-person variance, researchers can characterize individual differences and uncover complex mean-variance relations. The method also introduces novel Bayesian hypothesis testing for mean-variance correlations and suggests paradoxical within-person effects, contrary to traditional patterns.
PSYCHOLOGICAL METHODS
(2021)
Article
Statistics & Probability
Jeffrey N. Rouder, Richard D. Morey
AMERICAN STATISTICIAN
(2019)
Review
Psychology, Mathematical
Jeffrey N. Rouder, Julia M. Haaf
PSYCHONOMIC BULLETIN & REVIEW
(2019)
Article
Psychology
Richard D. Morey, Saskia Homer, Travis Proulx
ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE
(2018)
Article
Psychology, Mathematical
Eric-Jan Wagenmakers, Maarten Marsman, Tahira Jamil, Alexander Ly, Josine Verhagen, Jonathon Love, Ravi Selker, Quentin F. Gronau, Martin Smira, Sacha Epskamp, Dora Matzke, Jeffrey N. Rouder, Richard D. Morey
PSYCHONOMIC BULLETIN & REVIEW
(2018)
Article
Computer Science, Interdisciplinary Applications
Jonathon Love, Ravi Selker, Maarten Marsman, Tahira Jamil, Damian Dropmann, Josine Verhagen, Alexander Ly, Quentin F. Gronau, Martin Smira, Sacha Epskamp, Dora Matzke, Anneliese Wild, Patrick Knight, Jeffrey N. Rouder, Richard D. Morey, Eric-Jan Wagenmakers
JOURNAL OF STATISTICAL SOFTWARE
(2019)