Article
Economics
Tim Bollerslev
Summary: This article proposes a natural generalization of the ARCH process to incorporate past conditional variances in the current equation. It derives the stationary conditions and autocorrelation structure for this new class of parametric models, and also considers maximum likelihood estimation and testing. Finally, it presents an empirical example relating to the uncertainty of the inflation rate.
JOURNAL OF ECONOMETRICS
(2023)
Article
Mathematical & Computational Biology
Amitava Mukherjee, Wolfgang Koessler, Marco Marozzi
Summary: We propose a test method for multisample comparison studies that can be applied without strict assumptions. This method can detect differences in location, scale, and shape parameters among parent population distributions. Additionally, it allows researchers to determine which aspects are more responsible for significant results.
STATISTICS IN MEDICINE
(2022)
Article
Statistics & Probability
Jicai Liu, Jinhong Li, Riquan Zhang
Summary: This paper proposes a novel partitioning clustering procedure called K-CDFs based on the cumulative distribution function (CDF). The K-CDFs represent cluster centers using empirical CDFs and assign observations based on the closest center measured by the Cramer-von Mises distance. The procedure is nonparametric, robust to heavy-tailed data, independent of data dimensions, and capable of detecting linearly non-separable clusters.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2023)
Article
Environmental Sciences
Debora Y. de Oliveira, Jasper A. Vrugt
Summary: This paper introduces a relatively simple data-driven method for representing the uncertainty in daily discharge records. The method relies on an estimator to characterize random errors in discharge time series and uses the combined effect of random errors and measurement frequency to generate accurate replicas of the discharge record.
WATER RESOURCES RESEARCH
(2022)
Article
Social Sciences, Mathematical Methods
Rand Wilcox
Summary: This paper discusses alternative methods of comparing groups using robust measures of effect size instead of measures of location, highlighting the deeper understanding of group comparisons that can be achieved through comparing effect sizes.
METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES
(2022)
Article
Statistics & Probability
Anjana Mondal, Paavo Sattler, Somesh Kumar
Summary: This paper proposes tests for homogeneity of row effects in a randomized block design without interaction effects. The tests include the likelihood ratio test (LRT), Min-T, and Max-T. The paper also develops numerical procedures and estimation methods for the tests. Parametric bootstrap (PB) is used to evaluate critical points and the asymptotic distributions of the tests are derived. The simulation study shows that all the proposed tests maintain a preassigned type I error, with LRT achieving the highest power values.
JOURNAL OF MULTIVARIATE ANALYSIS
(2023)
Article
Environmental Sciences
Huimin Wang, Songbai Song, Gengxi Zhang, Olusola O. Ayantobo, Tianli Guo
Summary: This study assesses the applicability of SV models to streamflow modeling in the Yellow River basin, and finds that SV models can better describe streamflow series with time-varying variance and accurately capture the occurrence of peak streamflow.
WATER RESOURCES RESEARCH
(2023)
Article
Statistics & Probability
Anjana Mondal, Markus Pauly, Somesh Kumar
Summary: This study investigates a one-way design with unknown and unequal error variances. Likelihood ratio test (LRT) and two Min-T tests (Min-T and AMin-T) are proposed and studied for their asymptotic behavior. A parametric bootstrap procedure is used to improve finite sample properties. Simulation results show that all tests control the nominal level, even for combinations with large variances. However, the asymptotic likelihood ratio test (ALRT) only achieves the nominal size for large samples and k = 3. Power comparisons indicate that LRT has more power than Min-T, but Min-T is easier to use as it does not require evaluation of maximum likelihood estimators.
STATISTICAL PAPERS
(2022)
Article
Neurosciences
Hong Gi Yeom, Hyundoo Jeong
Summary: Studies on brain mechanisms are crucial for treating brain diseases and developing technologies for daily life. The proposed FTF analysis method uses ANOVA's F-value for time-frequency analysis, showing statistical differences among conditions. This method is valuable for analyzing how frequency characteristics vary according to different conditions.
FRONTIERS IN NEUROSCIENCE
(2021)
Review
Chemistry, Multidisciplinary
Abdulkhaliq Ali F. Alshadidi, Ahid Amer Alshahrani, Lujain Ibrahim N. Aldosari, Saurabh Chaturvedi, Ravinder S. Saini, Saeed Awod Bin Hassan, Marco Cicciu, Giuseppe Minervini
Summary: This study examined the use of artificial intelligence in prosthodontics to diagnose abnormalities and create patient-specific prostheses. The findings showed a significant increase in the application of artificial intelligence in prosthodontics.
APPLIED SCIENCES-BASEL
(2023)
Article
Education & Educational Research
Zhiyao Yi, Yi-Hsin Chen, Yue Yin, Ke Cheng, Yan Wang, Diep Nguyen, Thanh Pham, EunSook Kim
Summary: The study found that O'Brien, Levene's with squared deviations, BS, BF, and Bootstrap BF tests showed good control of Type I errors, with BF and Bootstrap BF tests consistently demonstrating higher power estimates across simulation conditions. Practical recommendations for HOV test selection in factorial ANOVA designs are provided in the paper.
JOURNAL OF EXPERIMENTAL EDUCATION
(2022)
Article
Engineering, Electrical & Electronic
Yoni Eder, Koby Todros
Summary: This paper introduces a new robust extension of the two-sample Hotelling test, called measure-transformed HT (MT-HT), for testing equality between the location parameters of two unknown symmetric distributions. Proper selection of measure transform functions can significantly enhance decision performance in the presence of non-Gaussian distributions with heavy tails. The advantages of MT-HT are illustrated in simulation studies with synthetic measurements and anomaly detection in a blurred and noisy video stream.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Computer Science, Artificial Intelligence
Sisi Wang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
Summary: PCA is a powerful unsupervised dimensionality reduction algorithm that cleverly combines reconstruction error and projection variance to learn projection matrix accurately. It uses '2-norm as the evaluation criterion and has rotation invariance. It also enhances robustness and anomaly detection ability through binary weight design and employs an efficient iterative optimization algorithm to solve the problem. Extensive experimental results show that our model outperforms state-of-the-art PCA methods.
Article
Mathematics, Interdisciplinary Applications
Isao Shoji, Masahiro Nozawa
Summary: This article discusses a geometric method for analyzing nonlinear oscillations. By transforming the differential equation into a system of first-order ordinary differential equations, the trajectory can be embedded as a curve in R-3, allowing for the investigation of the dynamic properties of nonlinear oscillations.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Economics
Abhimanyu Gupta, Myung Hwan Seo
Summary: We develop a class of tests for time-series models with growing dimensions and propose new scale correction and bias correction methods. Our simulation study underscores the importance of robustifying testing procedures against the high-order long-run variance (HLV), even with moderate dimensions. The tests are exemplified using oil regressions in Hamilton (2003).
Article
Behavioral Sciences
James A. Klarevas-Irby, Damien R. Farine
Summary: Little is known about how animals overcome temporal constraints on movement during dispersal. This study used GPS tracking of vulturine guineafowl and found that dispersers showed the greatest increase in movement at the same times of day when they moved the most prior to dispersal. These findings suggest that individuals face the same ecological constraints during dispersal as they do in daily life and achieve large displacements by maximizing movement when conditions are most favorable.
Article
Behavioral Sciences
Simone Ciaralli, Martina Esposito, Stefano Francesconi, Daniela Muzzicato, Marco Gamba, Matteo Dal Zotto, Daniela Campobello
Summary: Male cuckoos may transfer nest location information to females as a nonmaterial nuptial gift through specific postures and behaviors, potentially influencing mating choices of female cuckoos.
Article
Behavioral Sciences
Anne E. Aulsebrook, Rowan Jacques-Hamilton, Bart Kempenaers
Summary: Accelerometry and machine learning have been used to quantify mating behaviors of captive male ruffs. Different machine learning methods were compared and evaluated for their classification performance. The study highlights the challenges and potential pitfalls in classifying mating behaviors using accelerometry and provides recommendations and considerations for future research.
Article
Behavioral Sciences
Maria G. Smith, Joshua B. LaPergola, Christina Riehl
Summary: This study analyzed individual contributions to parental care in the greater ani bird and found that workload inequality varied between groups of two and three pairs. However, there was no clear evidence of division of labour within the groups, suggesting individual differences in overall work performed.
Article
Behavioral Sciences
Noah M. T. Smith, Reuven Dukas
Summary: Winner and loser effects are observed in many animals, and recent experiments suggest that they may also occur in humans. In two experiments involving video games and reading comprehension, participants who won in the first phase performed significantly better in the second phase compared to those who lost. The effect size was larger in the video game experiment, and men and women showed similar magnitudes of winner and loser effects.
Article
Behavioral Sciences
Bianca J. L. Marcellino, Peri Yee, Shannon J. Mccauley, Rosalind L. Murray
Summary: This study examines the trade-off between mating effort and thermoregulatory behavior in dragonflies in response to temperature changes, and investigates the effect of wing melanin on these behaviors. The results indicate that as temperature increases, dragonflies reduce their mating effort and increase their thermoregulatory behavior.
Article
Behavioral Sciences
Rafael Rios Moura, Paulo Inacio Prado, Joao Vasconcellos-Neto
Summary: This study examined the escape behavior and decision-making of Aglaoctenus castaneus spiders on different substrates. It was found that spiders inhabiting injurious substrates displayed shorter flight initiation distances and lower sensitivity to predators.
Article
Behavioral Sciences
Luigi Baciadonna, Cwyn Solvi, Francesca Terranova, Camilla Godi, Cristina Pilenga, Livio Favaro
Summary: In this study, it was found that African penguins could use ventral dot patterns to recognize their lifelong partner and nonpartner colonymates. This challenges the previous assumption of limited visual involvement in penguin communication, highlighting the complex and flexible recognition process in birds.
Article
Behavioral Sciences
Nick A. R. Jones, Jade Newton-Youens, Joachim G. Frommen
Summary: Environmental conditions, particularly temperature, have a significant impact on animal behavior. This study focused on aggression in Neolamprologus pulcher fish and found that aggression rates increased with temperature at lower levels, but decreased after reaching a peak. Additionally, the influence of high temperatures on aggression changed over time during the trials. These findings provide a more comprehensive understanding of the short-term effects of temperature on aggression and highlight the importance of considering non-linear changes in thermal performance.
Article
Behavioral Sciences
Bruno Herlander Martins, Andrea Soriano-Redondo, Aldina M. A. Franco, Ines Carry
Summary: Human activities have affected the availability of resources for wildlife, particularly through the provision of anthropogenic food subsidies at landfill sites. This study explores the influence of age on landfill attendance and foraging behavior in white storks. Adult storks visit landfills more frequently and show dominance over juveniles in food acquisition. Juveniles have limited access to landfill resources and are forced to use lower quality areas.