Spurious Regression by D. Ventosa-Santaulària

“…Indeed, spurious regressions have played a fundamental role in the building of modern time series econometrics and have revolutionized many of the procedures used in applied macroeconomics. …”
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Critical transitions in a model of a genetic regulatory system by Jesse Berwald, Marian Gidea

“…We apply two methods to numerically test the synthetic time series generated by the system for early indicators of critical transitions: a detrended fluctuation analysis method, and a novel method based on topological data analysis (persistence diagrams).…”
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OBSERVED AND PROJECTED CLIMATE CHANGE AND ITS IMPACT ON ECOSYSTEMS’ PRODUCTIVITY IN FOREST-STEPPE AND STEPPE ZONES OF RUSSIA AND NEIGHBORING (FSU) COUNTRIES by NICOLAY DRONIN, NATALIA TELNOVA, ANDREY KIRILENKO, ELENA MILANOVA, NATALIA KALUTSKOVA

“…Spatial pattern comparable analysis of some climate variables and NDVI time series proves projections of aridization of the forests-steppe and steppe zones for the whole region with some exclusion for the territories experienced local increase of precipitation or better land management. …”
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Genome-resolved year-round dynamics reveal a broad range of giant virus microdiversity by Yue Fang, Lingjie Meng, Jun Xia, Yasuhiro Gotoh, Tetsuya Hayashi, Keizo Nagasaki, Hisashi Endo, Yusuke Okazaki, Hiroyuki Ogata

“…In this study, we investigated the dynamics of giant viruses using time-series metagenomes from eutrophic coastal seawater samples collected over 20 months. …”
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Long-Term Homogeneity and Trends of Hydroclimatic Variables in Upper Awash River Basin, Ethiopia by Mekonnen H. Daba, Gebiaw T. Ayele, Songcai You

“…Mann-Kendall (Z) and Sen’s slope tests (Q) were applied for the selected homogeneous time series to detect the trend and magnitude of changes in hydroclimatic variables. …”
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Temporal backscatter characterisation of ratoon rice crops based on Sentinel-1 intensity data by Vidya Nahdhiyatul Fikriyah, Roshanak Darvishzadeh, Alice Laborte, Jitender Rathore, Andrew Nelson

“…This study demonstrates the potential of SAR Sentinel-1 time series data to determine periods and SAR features for optimal main and ratoon rice discrimination, which offers advantages for future remote sensing-based rice ratooning mapping and rice production estimation.…”
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Vapor pressure deficit (VPD) downscaling based on multi-source remote sensing, in-situ observation, and machine learning in China by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

“…Using ERA5-Land, TerraClimate, GLDAS time series data, and additional predictors such as vegetation indices, land cover types, terrain, and surface temperature, the study developed a random forest (RF) model to estimate VPD (named RF-VPD). …”
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A novel regional forecastable multiscalar standardized drought index (RFMSDI) for regional drought monitoring and assessment by Aamina Batool, Veysi Kartal, Zulfiqar Ali, Miklas Scholz, Farman Ali

“…K-CGMD is utilized to model the multimodel time series data. The study application incorporates eight meteorological stations in Türkiye's Elazig province (Baskil, Agin, Elazig, Karakocan, Keban Maden, Palu and Sivrice). …”
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A Note on the Properties of Generalised Separable Spatial Autoregressive Process by Mahendran Shitan, Shelton Peiris

“…Spatial modelling has its applications in many fields like geology, agriculture, meteorology, geography, and so forth. In time series a class of models known as Generalised Autoregressive (GAR) has been introduced by Peiris (2003) that includes an index parameter δ. …”
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Chaotic Oscillation of Satellite due to Aerodynamic Torque by Rashmi Bhardwaj, Mohammad Sajid

“…We studied the behavior of trajectories due to change in parameters with Lyapunov exponents and time series plots. The theory is applied to Resourcesat-1, an artificial satellite of the Earth.…”
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Sustainable economic growth and exhaustible resources: A model and estimation for the US by Almuth Scholl, Willi Semmler

“…The central part of this paper is the presentation of stylized facts on exhaustible resources and an estimation of a basic model with resource constraints for US time series data. The estimated years left until depletion and the empirical trends of the ratios of capital stock and consumption to resources seem to indicate that there might be a threat to sustainable growth in the future. …”
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Long-run forecasting of the number of the ecotourism arrivals in the municipality of Stambolovo, Bulgaria by Preslav Dimitrov

“…The present paper regards several major problems in the application of exponential smoothing methods for the purpose of the long-run forecasting for the needs of the mountainous municipality of Stambolovo, Bulgaria, such as: (i) the problem of determining the time series pattern; or the so-called “forecast profile”; (ii) the selection of a suitable forecasting method; (iii) Calculating of short-run and long-run forecasts; and (iv) the comparison of the results of the forecast techniques on the basis of the errors in the forecasts. …”
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A Note on the Observability of Temporal Boolean Control Network by Wenping Shi, Bo Wu, Jing Han

“…Temporal Boolean network is a generalization of the Boolean network model that takes into account the time series nature of the data and tries to incorporate into the model the possible existence of delayed regulatory interactions among genes. …”
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THE RELATIONSHIP BETWEEN GOVERNMENT SPENDING AND NIGERIA'S ECONOMIC GROWTH: VECTOR AUTO-REGRESSION APPROACH by Benedict Azu, Agbobu Shedrack Onyeka

“… This study examined the relationship between government spending and Nigeria's economic growth using time series data from 1982 to 2022. Both the pairwise causality test and the Vector Auto-regression (VAR) model were used. …”
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Visualization of Online-Game Players Based on Their Action Behaviors by Ruck Thawonmas, Keita Iizuka

“…In order to reduce the dimension of matrices used in computation of the CMDS input, we exploit a time-series reduction technique recently proposed by us. …”
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On the Estimation of k-Regimes Switching of Mixture Autoregressive Model via Weibull Distributional Random Noise by Rasaki, Olawale Olanrewaju, Anthony, Gichuhi Waititu, Nafiu, Lukman Abiodun

“…This paper describes regime-switching, full range of shape changing distributions (multimodalities), and cycles traits that were characterized by time-varying series via Weibull distributional noise for time series with fluctuations and long-memory. We developed and established a Weibull Mixture Autoregressive model of k-regimes via WMAR(k; p1, p2, , pk ) with Expectation-Maximization (EM) algorithm adopted as parameter estimation technique. …”
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Fréchet Random Noise for k-Regime-Switching Mixture Autoregressive Model by Rasaki, Olawale Olanrewaju, Anthony, Gichuhi Waititu, Nafiu, Lukman Abiodun

“…This paper describes Fréchet distribution as a random noise for capturing multimodalities, regime-switching and change-points attributed to uniformly time-varying series via causality of fluctuations, extreme values and heavy-tailed time series. Fréchet Mixture Autoregressive (FMAR) model of k-regime-switching, denoted by FMAR(k; p1, p2 ,, pk ) was developed and Expectation-Maximization (EM) algorithm was used as a method of parameter estimation for the embedded coefficients of AR of k-mixing weights and lag pk. …”
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Stock price prediction with attentive temporal convolution-based generative adversarial network by Ying Liu, Xiaohua Huang, Liwei Xiong, Ruyu Chang, Wenjing Wang, Long Chen

“…A TCN can achieve extensive sequence memory by utilizing dilated convolutions, enabling it to capture long-term dependencies in time-series data, as well as causal convolution, ensuring that the model does not utilize future information when predicting future values, which is particularly crucial for time-series prediction. …”
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Impacts of National Reimbursement Drug Price Negotiation on drug accessibility, utilization, and cost in China: a systematic review by Zheng Zhu, Jiawei Zhang, Zhihu Xu, Quan Wang, Yu Qi, Li Yang

“…The study design had to be a randomized or non-randomized trial, an interrupted time series (ITS) analysis, a repeated measures study, or a controlled before‐after (CBA) study. …”
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Using Sequence Mining to Predict Complex Systems: A Case Study in Influenza Epidemics by Theyazn H. H. Aldhyani, Manish R. Joshi, Shahab A. AlMaaytah, Ahmed Abdullah Alqarni, Nizar Alsharif

“…The INTS model combines clustering with a time series model to enhance the prediction of influenza outbreaks. …”
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