Results 21 to 30 of about 93,376 (303)

Unilateral boundary time series forecasting

Frontiers in Big Data
Time series forecasting is an essential tool across numerous domains, yet traditional models often falter when faced with unilateral boundary conditions, where data is systematically overestimated or underestimated. This paper introduces a novel approach
Chao-Min Chang, Cheng-Te Li, Shou-De Lin
doaj   +1 more source

Forecasting Randomly Distributed Zero-Inflated Time Series

Folia Oeconomica Stetinensia, 2017
The main aim of the article is to propose a forecasting procedure that could be useful in the case of randomly distributed zero-inflated time series.
Doszyń Mariusz
doaj   +1 more source

A Seasonal Autoregressive Integrated Moving Average (SARIMA) Model to Forecasting Tourist Arrival in the Philippines: A Case Study in Moalboal, Cebu (Philippines)

Recoletos Multidisciplinary Research Journal, 2020
Forecasting plays a critical part in implementing effective tourism management strategies. However, the role of tourism forecasting is not extensively studied in the Philippines, which is a key tourism destination in Southeast Asia.
Severina P. Velos, Marivel B. Go, Glynne P. Bate, Elvira B. Joyohoy   +3 more
doaj   +1 more source

Robust Multi-Dimensional Time Series Forecasting

Entropy
Large-scale and high-dimensional time series data are widely generated in modern applications such as intelligent transportation and environmental monitoring. However, such data contains much noise, outliers, and missing values due to interference during
Chen Shen, Yong He, Jin Qin
doaj   +1 more source

Time Series Forecastability Measures

CoRR
This paper proposes using two metrics to quantify the forecastability of time series prior to model development: the spectral predictability score and the largest Lyapunov exponent. Unlike traditional model evaluation metrics, these measures assess the inherent forecastability characteristics of the data before any forecast attempts.
Rui Wang, Steven Klee, Alexis Roos
openaire   +2 more sources

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa, Shou Xu, Mark Zobeck, Sarah E. Sartain, Nino Rainusso, Lisa Wang, Nicole Montgomery, Paige Wheaton, Sarah Whittle   +8 more
wiley   +1 more source

HUTFormer: Hierarchical U-Net transformer for long-term traffic forecasting

Communications in Transportation Research
Traffic forecasting, which aims to predict traffic conditions based on historical observations, has been an enduring research topic and is widely recognized as an essential component of intelligent transportation.
Zezhi Shao, Fei Wang, Tao Sun, Chengqing Yu, Yuchen Fang, Guangyin Jin, Zhulin An, Yang Liu, Xiaobo Qu, Yongjun Xu   +9 more
doaj   +1 more source

Dense Sampling of Time Series for Forecasting

IEEE Access, 2022
A time series contain a large amount of information suitable for forecasting. Classical statistical and recent deep learning models have been widely used in a variety of forecasting applications.
Il-Seok Oh, Jin-Seon Lee
doaj   +1 more source

Forecasting for Stationary Binary Time Series

Acta Applicandae Mathematica, 2003
The forecasting problem for a stationary and ergodic binary time series $\{X_n\}_{n=0}^{\infty}$ is to estimate the probability that $X_{n+1}=1$ based on the observations $X_i$, $0\le i\le n$ without prior knowledge of the distribution of the process $\{X_n\}$. It is known that this is not possible if one estimates at all values of $n$.
Gusztáv Morvai, Benjamin Weiss 0002
openaire   +2 more sources

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm, Bea Tornberg, Erik Delsing Malmberg, Henrik Hasle, Kristian Løvvik Juul‐Dam, Lars Palmqvist, Borhan R. Saeed, Giti Shah Barkhordar, Anastasia Soboli, Anna Staffas, Jonas Abrahamsson, Linda Fogelstrand   +11 more
wiley   +1 more source