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Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs. 准确高效的股市指数预测：一种基于vmd - snn的综合方法。
IF 1.2 4区 数学
Journal of Applied Statistics Pub Date : 2024-09-03 eCollection Date: 2025-01-01 DOI: 10.1080/02664763.2024.2395961
Xuchang Chen, Guoqiang Tang, Yumei Ren, Xin Lin, Tongzhi Li
{"title":"Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs.","authors":"Xuchang Chen, Guoqiang Tang, Yumei Ren, Xin Lin, Tongzhi Li","doi":"10.1080/02664763.2024.2395961","DOIUrl":"10.1080/02664763.2024.2395961","url":null,"abstract":"<p><p>The stock market index typically mirrors the financial market's performance. Hence, accurate prediction of stock market index trends is essential for investors aiming to mitigate financial risk and enhance future investment returns. Traditional statistical approaches often struggle with the non-linear nature of stock market index data, leading to potential inaccuracies in long-term predictions. To address this issue, we introduce the TCN-LSTM-SNN (TLSNN) model, a hybrid framework that integrates Long Short-Term Memory (LSTM) and Temporal Convolutional Network (TCN) for robust feature extraction, within a highly efficient Spiking Neural Network (SNN) architecture. Additionally, we employ the Subtraction-Average-Based Optimizer (SABO) to refine the Variational Mode Decomposition (VMD) technique, thereby separating the periodic and trend components of stock indices, reducing noise interference, and establishing a decomposition ensemble framework to bolster the model's resilience. The experimental results show that the VMD-TLSNN hybrid model suggested in this study surpasses other individual benchmark models and their hybrid models in prediction accuracy. Additionally, it demonstrates notably lower energy consumption compared to other hybrid models.</p>","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"52 4","pages":"841-867"},"PeriodicalIF":1.2,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11873965/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143557087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On function-on-function linear quantile regression 关于函数对函数的线性量化回归
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-08-28 DOI: 10.1080/02664763.2024.2395960
Muge Mutis, Ufuk Beyaztas, Filiz Karaman, Han Lin Shang
{"title":"On function-on-function linear quantile regression","authors":"Muge Mutis, Ufuk Beyaztas, Filiz Karaman, Han Lin Shang","doi":"10.1080/02664763.2024.2395960","DOIUrl":"https://doi.org/10.1080/02664763.2024.2395960","url":null,"abstract":"We present two innovative functional partial quantile regression algorithms designed to accurately and efficiently estimate the regression coefficient function within the function-on-function linea...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"106 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quantile regression based method for characterizing risk-specific behavioral patterns in relation to longitudinal left-censored biomarker data collected from heterogeneous populations 基于量子回归的方法，用于描述与从异质人群收集的纵向左删失生物标记物数据相关的特定风险行为模式
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-08-27 DOI: 10.1080/02664763.2024.2394784
MinJae Lee, Belinda M. Reininger, Kelley Pettee Gabriel, Nalini Ranjit, Larkin L. Strong
{"title":"Quantile regression based method for characterizing risk-specific behavioral patterns in relation to longitudinal left-censored biomarker data collected from heterogeneous populations","authors":"MinJae Lee, Belinda M. Reininger, Kelley Pettee Gabriel, Nalini Ranjit, Larkin L. Strong","doi":"10.1080/02664763.2024.2394784","DOIUrl":"https://doi.org/10.1080/02664763.2024.2394784","url":null,"abstract":"There are many studies aimed at promoting positive lifestyle behaviors to reduce lifetime risk of cancer and related diseases. However, assessing these modifiable behaviors through statistical mode...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"11 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A two-sample nonparametric test for one-sided location-scale alternative 对单侧地点尺度备选方案的双样本非参数检验
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-08-21 DOI: 10.1080/02664763.2024.2392119
Hidetoshi Murakami, Markus Neuhäuser
{"title":"A two-sample nonparametric test for one-sided location-scale alternative","authors":"Hidetoshi Murakami, Markus Neuhäuser","doi":"10.1080/02664763.2024.2392119","DOIUrl":"https://doi.org/10.1080/02664763.2024.2392119","url":null,"abstract":"An increase in location is often accompanied by an increase in variability. Moreover, in randomized studies, the presence of heteroscedasticity can indicate a treatment effect. In these cases a loc...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"385 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modeling the time to dropout under phase-wise variable stress fixed cohort setup 在阶段性可变压力固定队列设置下的辍学时间建模
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-08-19 DOI: 10.1080/02664763.2024.2392113
Aniket Biswas, Subrata Chakraborty, Anupama Nandi
{"title":"Modeling the time to dropout under phase-wise variable stress fixed cohort setup","authors":"Aniket Biswas, Subrata Chakraborty, Anupama Nandi","doi":"10.1080/02664763.2024.2392113","DOIUrl":"https://doi.org/10.1080/02664763.2024.2392113","url":null,"abstract":"The event of a student dropping out from an academic program depends on several factors namely course content, change in interest, financial problems among many others. These factors vary interdepe...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"75 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fast algorithms of computing admissible intervals for discrete distributions with single parameter 计算单参数离散分布可容许区间的快速算法
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-08-17 DOI: 10.1080/02664763.2024.2392105
Weizhen Wang, Chongxiu Yu, Zhongzhan Zhang
{"title":"Fast algorithms of computing admissible intervals for discrete distributions with single parameter","authors":"Weizhen Wang, Chongxiu Yu, Zhongzhan Zhang","doi":"10.1080/02664763.2024.2392105","DOIUrl":"https://doi.org/10.1080/02664763.2024.2392105","url":null,"abstract":"It is of great interest to compute optimal exact confidence intervals for the success probability (p) in a binomial distribution, the number of subjects with a certain attribute (M) or the total nu...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"153 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142176444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Estimation of the mean exponential survival time under a sequential censoring scheme 顺序删减方案下平均指数生存时间的估算
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-08-03 DOI: 10.1080/02664763.2024.2386609
Jun Hu, Hon Yiu So, Yan Zhuang
{"title":"Estimation of the mean exponential survival time under a sequential censoring scheme","authors":"Jun Hu, Hon Yiu So, Yan Zhuang","doi":"10.1080/02664763.2024.2386609","DOIUrl":"https://doi.org/10.1080/02664763.2024.2386609","url":null,"abstract":"The exponential distribution can provide a simple and appealing survival-time model in reliability analysis and life tests. Due to certain experimental designs, time limitations, budgetary requirem...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"22 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141937910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mixtures of logistic normal multinomial regression models for microbiome data 微生物组数据的逻辑正态多项式回归模型混合物
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-08-01 DOI: 10.1080/02664763.2024.2383286
Wenshu Dai, Yuan Fang, Sanjeena Subedi
{"title":"Mixtures of logistic normal multinomial regression models for microbiome data","authors":"Wenshu Dai, Yuan Fang, Sanjeena Subedi","doi":"10.1080/02664763.2024.2383286","DOIUrl":"https://doi.org/10.1080/02664763.2024.2383286","url":null,"abstract":"In the realm of bioinformatics, we frequently encounter discrete data, particularly microbiome taxa count data obtained through 16S rRNA sequencing. These microbiome datasets are commonly character...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"28 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141937911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sample size calculation for the sequential parallel comparison design with binary endpoint using exact methods 用精确法计算二元终点顺序平行比较设计的样本量
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-07-31 DOI: 10.1080/02664763.2024.2385997
Guogen Shan, Yahui Zhang
{"title":"Sample size calculation for the sequential parallel comparison design with binary endpoint using exact methods","authors":"Guogen Shan, Yahui Zhang","doi":"10.1080/02664763.2024.2385997","DOIUrl":"https://doi.org/10.1080/02664763.2024.2385997","url":null,"abstract":"High placebo responses in clinical trial could reduce the treatment effect leading to the failure of a promising drug. Several strategies have been developed to minimize high placebo responses, inc...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"44 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141937912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Accurate identification of single-cell types via correntropy-based Sparse PCA combining hypergraph and fusion similarity 通过基于熵的稀疏 PCA（结合超图和融合相似性）准确识别单细胞类型
IF 1.5 4区 数学
Journal of Applied Statistics Pub Date : 2024-07-21 DOI: 10.1080/02664763.2024.2369955
Juan Wang, Tai-Ge Wang, Shasha Yuan, Feng Li
{"title":"Accurate identification of single-cell types via correntropy-based Sparse PCA combining hypergraph and fusion similarity","authors":"Juan Wang, Tai-Ge Wang, Shasha Yuan, Feng Li","doi":"10.1080/02664763.2024.2369955","DOIUrl":"https://doi.org/10.1080/02664763.2024.2369955","url":null,"abstract":"The advent of single-cell RNA sequencing (scRNA-seq) technology enables researchers to gain deep insights into cellular heterogeneity. However, the high dimensionality and noise of scRNA-seq data p...","PeriodicalId":15239,"journal":{"name":"Journal of Applied Statistics","volume":"45 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141782763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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