Article
Engineering, Civil
Sowjanya Dhulipala, Gopal R. Patil
Summary: In this study, regional freight generation models were developed for twenty industry sectors in a region comprising 101 districts of India using secondary data. The study explores the roles of economic, locational, geographical, and transportation infrastructure variables in estimating freight production and addressing spatial autocorrelation. The findings suggest the importance of considering spatial dependencies and adopting appropriate spatial models in freight generation modeling.
Article
Green & Sustainable Science & Technology
Syafrudin Syafrudin, Bimastyaji Surya Ramadan, Mochamad Arief Budihardjo, Munawir Munawir, Hafizhul Khair, Raden Tina Rosmalina, Septa Yudha Ardiansyah
Summary: This study uses spatial regression analysis to identify the primary factors impacting illegal waste dumping practices. It found that elevation and population density are determinants of illegal waste dumping activity. This study is important for reducing illegal waste dumping practices, especially in urban settings.
Article
Chemistry, Multidisciplinary
Sungyeol Lee, Jaemo Kang, Jinyoung Kim
Summary: In this study, the attribute information of underground utilities and history information of ground subsidence were collected to develop a prediction model. Spatial lag model (SLM) was selected as suitable for analyzing the vulnerability of ground subsidence, and the density of underground utilities was found to be the highest influencing factor. A vulnerability map of ground subsidence in the target area was prepared using the model.
APPLIED SCIENCES-BASEL
(2023)
Article
Green & Sustainable Science & Technology
Benhong Peng, Xingchao Zhang, Ehsan Elahi, Anxia Wan
Summary: This study examines the impact of financial development on green ecology in the cities of the Yangtze River Delta. Results show an upward trend in the green-ecology index, higher in the East compared to the West. Financial development has a positive effect on green growth and resource-environment indexes, suggesting the need for enterprises to strengthen technological innovation for improved efficiency and pollution reduction.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Environmental Sciences
Xing Wang, Dequn Zhou, Sahin Telli
Summary: This study investigates the nonlinearity and spatial transmission mechanism between financial development and pollutant emissions across regions in China. The results show spatial spillover effects on pollutant emissions, with financial development reducing SO2 emissions in a particular region but significantly increasing them in surrounding regions. However, financial development significantly decreases SW emissions in a particular region without significant impact on its surrounding regions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Immunology
Vanshika Rustagi, Monika Bajaj, Priya Singh, Rajiv Aggarwal, Mohamed F. AlAjmi, Afzal Hussain, Md. Imtaiyaz Hassan, Archana Singh, Indrakant K. Singh
Summary: This study analyzes and models the COVID-19 pandemic data to examine the impact of vaccination and COVID-positive cases on the death rate, and uses regression analysis for prediction. The models can help predict the number of deaths from COVID-19 and determine susceptibility based on vaccine dosages.
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
(2022)
Article
Immunology
Venkata Raghava Mohan, Manikandan Srinivasan, Bireshwar Sinha, Ankita Shrivastava, Suman Kanungo, Kulandaipalayam Natarajan Sindhu, Karthikeyan Ramanujam, Santhosh Kumar Ganesan, Arun S. Karthikeyan, Senthil Kumar Jaganathan, Annai Gunasekaran, Alok Arya, Ashish Bavdekar, Temsunaro Rongsen-Chandola, Shanta Dutta, Jacob John, Gagandeep Kang
Summary: This analysis evaluated spatial clustering of typhoid and modeled incidence rates at 4 sites in India, identifying hotspots in Vellore and Kolkata. Despite efforts to improve water and sanitation, environmental factors continue to influence typhoid incidence, highlighting the potential need for vaccination alongside ongoing improvements in water and sanitation.
JOURNAL OF INFECTIOUS DISEASES
(2021)
Article
Environmental Sciences
Ayse Cay Atalay, Yusuf Akan
Summary: The present study examines the effect of the geographical location relationship between economic growth and environmental pollution. The findings suggest that energy consumption has a positive impact on carbon emissions, while trade liberalization and urbanization rate have varying effects on different countries.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Environmental Sciences
Xiyang Zhao, Jianwei Wang, Xin Fu, Wenlong Zheng, Xiuping Li, Chao Gao
Summary: The analysis of the spatial-temporal characteristics and regional differences in the carbon emissions efficiency of the freight transport industry is crucial for developing effective carbon reduction policies. This study measures and analyzes the carbon emissions efficiency of the freight transport industry in 31 Chinese provinces from 2008 to 2019, finding low overall levels with regional disparities, higher in the east than in the west. Furthermore, the study highlights the significant spatial diffusion and inhibition effects in adjacent areas, emphasizing the importance of considering spatial factors in improving carbon emissions efficiency.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Ecology
Jeong-Soo Park
Summary: Early detection of the spatial expansion pattern of alien plants and the associated environmental factors is crucial for their management. Regression kriging and geographically weighted regression were used in this study to estimate the critical environmental factors related to the invasion of Hypochaeris radicata into new habitats. The results indicate that human activities and roads are the primary factors driving the expansion of H. radicata, while forest areas have not been invaded.
ECOLOGICAL INFORMATICS
(2022)
Article
Environmental Studies
Mateusz Tomal, Marco Helbich
Summary: A new spatial autoregressive geographically weighted quantile regression method was proposed in this study to address the shortcomings of standard hedonic regression models. Comparing with mean and quantile hedonic regressions, the results showed that the proposed method outperforms other models in terms of fitting accuracy, especially at the tails of the dependent variable distribution. Policy recommendations for the development of private residential rental markets were provided based on the findings, which incorporate spatial effects and price segment requirements.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2023)
Article
Geosciences, Multidisciplinary
Xin Zhang, De-Qiang Xiang, Chao Yang, Wei Wu, Hong -Bin Liu
Summary: Understanding the spatial-temporal variation of soil pH is crucial for agricultural production. In a hilly and mountainous region in southwestern China, the topography significantly influenced the spatial distribution of soil pH, with factors like organic fertilizer, slope, valley depth being important in pH variation. From 2012 to 2017, the average soil pH increased by 0.63, with differences attributed to organic fertilizer application and topography.
Article
Energy & Fuels
Adam Novotny, Inez Szeberin, Sandor Kovacs, Domician Mate
Summary: This study examines the impact of Hofstede's six dimensions of national culture on the development of the electric car market using sales data from 2019 and 2020 in 21 OECD countries. The results show that national culture significantly influences the sales of battery electric cars, with uncertainty avoidance, individualism, masculinity, and indulgence negatively affecting their sales, while long-term orientation positively influences their market share.
Article
Environmental Sciences
Hamidreza Shahradnia, Atefeh Chamani, Mehrdad Zamanpoore
Summary: The study utilized an integrated modeling approach to investigate the linkages between landscape-related features and high arsenic levels in river sediments in central Iran. Results showed that sediment arsenic levels were influenced by the density of agricultural activities near the river outlet and the proportion of silty loam or loamy soils, providing important insights for policy decisions regarding river contamination processes in central Iran.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Ophthalmology
Kilhwan Shon, Kyung Rim Sung, Joong Won Shin
Summary: This study aimed to develop an artificial neural network model incorporating spatial and ordinal approaches to predict glaucomatous visual field progression. Results showed that the neural network models outperformed linear models in predicting glaucomatous VF progression.
AMERICAN JOURNAL OF OPHTHALMOLOGY
(2022)
Article
Statistics & Probability
Antonio Di Noia, Gianluca Mastrantonio, Giovanna Jona Lasinio
Summary: Building on Dryden et al. (2021), this note presents the Bayesian estimation of a regression model for size-and-shape response variables with Gaussian landmarks, fitting into the framework of Bayesian latent variable models and potentially allowing for a highly flexible modeling framework.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
Shuning Liu, Guangying Lv
Summary: This paper investigates the stability of stochastic differential equations with impulsive effects and provides sufficient conditions for obtaining stability. The research shows that impulse can stabilize stochastic differential equations.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
Yuta Tanoue
Summary: In this study, we examine the properties of 9-subgaussian random variables, including inequalities, concentration inequalities, and the law of large numbers. We also discuss the characteristics of m-acceptable 9-subgaussian random variables.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
John Hughes
Summary: This article presents inferential methods for the binomial proportion in a unified way, as variations on a conjugate-Bayesian theme. An overlooked interval emerges as the best-performing approximate interval for small samples. This approach is simple, intuitive, and illuminating, and may hold pedagogical value for instructors of advanced courses on statistical inference.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
Yunshi Gao
Summary: This paper studies the behavior of a particle systems on an Erdos-Renyi graph under large deviations and establishes the exponential equivalence between the systems and general interacting systems without random graphs. The results provide a foundation for the large deviations theory of particle systems.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
David Itkin
Summary: In this study, we examine a new family of distributions called Generalized Rank Dirichlet distributions on the ordered simplex. We investigate their properties and propose simulation algorithms for random variates. The results can be applied to model capital distribution in financial markets and ranked order statistics of weight vectors.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
Mario Lefebvre
Summary: This passage describes the analytical solution method for an Ornstein-Uhlenbeck process with Poissonian jumps, considering both exponentially and uniformly distributed jumps.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
Dongzhou Huang
Summary: This paper studies the sets of visit times to points on the plane by a standard two-dimensional Brownian motion. The concept of logarithmic scale Minkowski dimension is introduced as a tool for measuring these sets. It is proved that almost surely there exists a point x such that the logarithmic scale Minkowski dimension of the set of visit times to x is 1.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
Terry J. Lyons, Vlad Margarint, Sina Nejad
Summary: In this paper, we study a one-dimensional stochastic differential equation obtained by performing a random time change of the backward Loewner dynamics in H. We show the convergence of this equation towards its stationary measure in the sense of random ergodic averages. The density formula of the stationary measure reveals a phase transition at W = 8, which coincides with the change in behavior of the SLEW trace. By using convergence in total variation, we identify families of random times on which the law of the arguments of points under the backward SLEW flow converges to a closed form expression measure.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
Guangshuo Zhou, Fengjiao Du, Shengjun Fan
Summary: This paper proves a general invariant representation theorem for generators of general time interval backward stochastic differential equations, where the generator has a quadratic growth in the unknown variable z and satisfies some stochastic growth conditions in the unknown variable y. This result unifies and strengthens some known results.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
Benito Pires
Summary: This article introduces an approach based on the energy function of Hopfield networks to obtain Lyapunov functions for a class of interacting reinforced stochastic processes. The method works for processes with finitely many 2-dimensional probability measures and can be applied to the study of the total stability of differential equations.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
Yasuhito Nishimori
Summary: In this paper, we investigate the relation of hitting probabilities between two sets in Hunt processes, without considering spatial homogeneity. We claim that if the Hunt process satisfies the strong Feller property, then there is a certain relationship between the hitting probabilities of the two sets.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
Nader Karimi, Erfan Salavati, Hirbod Assa, Hojatollah Adibi
Summary: This paper proposes a continuous time version of the speculative storage model for commodity prices and provides mathematical analysis and numerical algorithm verification for the model.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
Offer Kella
Summary: The paper characterizes the independence of the minimum value and the events of the two independent random variables. It shows that the minimum value is independent if and only if both random variables are distributed according to the same increasing function of two independent random variables.
STATISTICS & PROBABILITY LETTERS
(2024)
Article
Statistics & Probability
Amites Dasgupta
Summary: We present Azuma-Hoeffding bounds for a class of urn models, which show exponentially decreasing probabilities of being away from the limit. The method involves relating the variables to linear combinations using eigenvectors of the replacement matrix, and introduces appropriate martingales. Some cases of repeated eigenvalues are also considered using cyclic vectors. Moreover, the strong convergence of proportions is proved as an application of these bounds.
STATISTICS & PROBABILITY LETTERS
(2024)
