Article
Engineering, Civil
Tomasz Niedzielski, Michal Halicki
Summary: This study proposes a method that combines linear interpolation with autoregressive integrated model (ARI) to handle missing hydrological data. The method, named LinAR, outperforms the purely linear method, especially for short no-data gaps and rivers of considerable size. The LinAR method contributes to the current state of art in gap-filling methods by removing artificial jumps and introducing irregular variability in the filled data.
WATER RESOURCES MANAGEMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Edgar Santos-Fernandez, Jay M. E. Ver Hoef, Erin Peterson, James J. McGree, Daniel Isaak
Summary: Spatio-temporal models are widely used in various research fields, including ecology. The use of in-situ sensors in streams and rivers has recently increased, enabling near real-time water quality modeling and monitoring. A new family of spatio-temporal models is introduced, incorporating spatial dependence and temporal autocorrelation. Using a Bayesian framework, several variations of these models are proposed. The results demonstrate the good performance of the proposed models using spatio-temporal data from real stream networks, particularly in terms of out-of-sample RMSPE. A case study on water temperature data in the northwestern United States is presented.
COMPUTATIONAL STATISTICS & DATA ANALYSIS
(2022)
Article
Economics
Daniel Walton, Gabriel Carroll
Summary: The study focuses on a class of models of moral hazard in which a principal contracts with a counterparty and explores solutions to the maximization of worst-case payoff. By contrasting various contract models in hierarchies, the analysis demonstrates how key features of contracting models can be distilled.
Article
Forestry
Yeongwan Seo, Daesung Lee, Jungkee Choi
Summary: This study modeled the growth of Korean red pine, Korean white pine, and Japanese larch using various equations and stem analysis data. The best-fit growth functions were selected and compared for different tree size variables. The developed models accurately predicted the tree size variables and can serve as a reference for understanding growth characteristics by species.
Article
Mathematics, Applied
Hongxia Wang, Xuehong Luo, Long Ling
Summary: A new class of semiparametric spatio-temporal models is proposed for estimating unknown and banded autoregressive coefficient matrices. The study demonstrates the stability and efficiency of the proposed estimators among different sample sizes by using the local linear method and least squares method for Yule-Walker equation. The balance between over-determined and under-determined phenomena is achieved by adjusting the order of extracting sample information.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2021)
Article
Forestry
Ondrej Spulak
Summary: In Central European nutrient-poor sandy forests dominated by Scots pine, climate change has led to deterioration of pine health while the vitality of the lower-storey Norway spruce remains stable. This study analyzes the impact of lower-storey spruce on pine growth and performance under drought stress. Removing the lower-storey spruce increased the radial growth of pines, particularly in latewood. It also altered the relationship between tree ring width and umbrothermic index. The study suggests that interspecies competition for water in soils with unreachable groundwater occurs, with the spruce's flat root system reducing water availability for the deeper-rooted pines.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Geosciences, Multidisciplinary
Hwasoo Shin, Marco A. R. Ferreira
Summary: We propose a novel class of dynamic factor models for spatiotemporal areal data, achieving dimension reduction by assuming that the process can be represented by a few latent factors. Each column of the factor loading matrix follows an intrinsic conditional autoregressive process to account for spatial dependence. We present two case studies, demonstrating the identifiability of our models and the utility of the framework in analyzing the drug overdose epidemic in the United States.
SPATIAL STATISTICS
(2023)
Article
Fisheries
Li Gao, Sangduk Choi, Xuan Bai
Summary: This study investigated the effects of environmental factors on the stock-recruitment relationship of Japanese sardines in the Pacific Ocean. Different models were used to analyze the recruitment, and the results showed that environmental factors, particularly sea surface temperature, had a significant impact on the sardine population.
Review
Medicine, General & Internal
Jingsheng Wang, Qiang Xiao, Yuanmin Li
Summary: Delta RDW serves as an important risk stratification tool to monitor changes in RDW before and after treatment, providing insights into the impact of RDW variations on disease outcomes. Currently, there is a lack of relevant studies on the predictive value of Delta RDW for different diseases, highlighting the need for further research in this area.
INTERNATIONAL JOURNAL OF GENERAL MEDICINE
(2021)
Article
Energy & Fuels
A. A. Shah, N. Shah, L. Luo, W. W. Xing, P. K. Leung, X. Zhu, Q. Liao
Summary: This paper proposes a method for predicting the state-of-health (SOH) of Li-ion batteries based on autoregression models and embedding strategies specifically tailored to time-series problems. By comparing linear and nonlinear approaches, including six deep learning architectures and ARIMA models, the study demonstrates the superiority of Gaussian process nonlinear autoregression (GPNAR) in terms of accuracy and computational costs. Additionally, GPNAR is capable of accurately predicting the end-of-life of batteries without the use of features and capturing seasonal trends.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Business, Finance
Michael Harrison, Jouchi Nakajima, Mimoza Shabani
Summary: This paper examines the impact of the significant increase in cross-border lending of Japanese banks since the Great Financial Crisis on domestic financial stability. The study finds that Japanese banks play a vital role in the global banking network by providing liquidity through cross-border lending. Additionally, Japan has a central position in the East-Asian regional banking network. The analysis also reveals positive spillover effects of banking stability arising from cross-border lending activities, with stronger effects at the global level than the regional level. Moreover, the study shows that the role of Japanese banks in the global banking network has more than doubled since 2014.
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY
(2023)
Article
Engineering, Marine
Ousmane Sarr, Richard Kindong, Siquan Tian
Summary: Japanese sardine is an important small pelagic fish in the marine ecosystem of the far Eastern Asian waters. Fishing mainly uses purse seines, with catches showing varying trends over the past five decades. Research has focused on spawning migration, distribution, and biology, highlighting the need for further studies to improve conservation efforts.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Fisheries
Shuyang Ma, Caihong Fu, Jianchao Li, Peng Sun, Yang Liu, Zhenjiang Ye, Yoshiro Watanabe, Yongjun Tian
Summary: This study used variable coefficients generalized additive models to reveal the non-stationary effects of density dependence, fishing pressure, and climatic conditions on the population dynamics of Japanese sardine. The results indicated that the dynamics of Japanese sardine from 1976 to 2018 could be divided into four periods: the 1980s with high abundance sustained by suitable climatic conditions, the 1990s with population collapse due to negative density-dependent effects and degrading climatic conditions, the 2000s with restricted population increase caused by negative triple effects, particularly high fishing pressure, and the 2010s with population recovery facilitated by favorable climatic conditions and low fishing pressure.
FISH AND FISHERIES
(2023)
Article
Biodiversity Conservation
Chao Yang, Haibin Han, Heng Zhang, Yongchuang Shi, Bing Su, Peiwen Jiang, Delong Xiang, Yuyan Sun, Yang Li
Summary: This study assessed the maximum sustainable yield (MSY) and stock resource status of Japanese sardine using historical catch data and biological data. The results indicate a healthy and recovering resource status. The study also proposed management strategies for the species, suggesting setting specific target ranges for the medium and long term. The findings suggest that Japanese sardine fishery resource can be sustainably used on a longer time scale.
ECOLOGICAL INDICATORS
(2023)
Article
Economics
Michal Rubaszek
Summary: The study suggests that long-term forecasts should utilize the mean reversion of real oil prices and models should not replicate the high volatility of oil prices observed in samples. The DSGE model performs better in forecasting real oil prices compared to random walk or vector autoregression models.
INTERNATIONAL JOURNAL OF FORECASTING
(2021)