All of the articles in this proceedings volume have been presented at the 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025) during December 5 to 7, 2025 in Guangzhou, China. These articles have been peer reviewed by the members of the Scientific Committees and...

Pumped storage power stations are vital for achieving China’s “dual carbon” goals and building a new energy system. This study develops an investment cost pricing linkage model for these stations, using system dynamics theory and Vensim software. A simulation analysis of a typical pumped storage station...

To solve multi-objective portfolio problems, it is often necessary to directly calculate the Pareto Frontier to obtain all the optimal solutions. However, when the number of decision objectives increases, it is easy to have problems such as the huge dimension of the solution space that cannot produce...

Change point detection is widely used in various fields, such as finance and environmental monitoring, to identify significant shifts in the underlying state of the process under study. This paper introduces the Difference-in-Differences(DID) Online Change Point Detection(DOCPD) algorithm, which combines...

This paper introduces the development and practice of the Changzhou grassroots governance platform from the perspective of the integration of digital and real-world. Based on the theoretical foundation of digital-real integration, the Changzhou grassroots governance platform integrates advanced technologies...

The structural complexity and logical coherence of human languages have positioned them as a central concern in artificial intelligence research, particularly within the domain of language modeling. This field has progressed from early statistical frameworks to advanced neural architectures, exemplified...

The paper begins by exploring the current state of research on financial analysis and the Harvard Analytical Framework. The second part then introduces the background of the semiconductor industry, the company’s size and operation. After that, the company’s financial situation is analysed in depth through...

In the digital economy era, pharmaceutical distribution enterprises are facing both challenges and opportunities for their development. Promoting industrial transformation and upgrading is the inevitable path for the development of the traditional pharmaceutical distribution industry. How to embark on...

In the context of rural revitalization and efficient agricultural resource allocation, this study develops a mathematical model to optimize crop planting strategies (2024–2030) for a mountainous village in North China, considering diverse land types and planting constraints. A linear programming model...

In the in-depth exploration of the consumer decision-making process of cigarette packaging color based on big data, this study systematically reveals the inherent relationship between color preferences and consumer behavior through multiple data collection methods and advanced analysis techniques. Based...

Guiyang, the capital of Guizhou province of China, as the first ecological civilization construction demonstration city in China, the first batch of low-carbon pilot cities, the core area of the National Big Data Comprehensive Pilot Zone, and China’s Digital Valley, should take advantage of the massive...

The cost analysis and investment forecasting of power grid projects are critical for enhancing the efficiency of asset management in power grid enterprises. As the scale of power grids continues to expand and equipment complexity increases, traditional empirical asset management methods are no longer...

Nowadays, banking industry has encountered a tremendous competition from other financial institutions. Institutions such as securities and insurance companies, as well as emerging fintech companies, are constantly emerging and engaging in fierce competition with commercial banks, affecting the profitability...

For some crops in the countryside in north China, the optimization strategy - tabu search in this paper, based on linear programming (LP) - TS and robust optimization - simulated annealing algorithm (RO - SA) improved model to solve the optimization of crop planting strategy, and to assess the economic...

Urban vitality, an important aspect of urban life, exhibits a unique pattern during the morning peak hours. This paper takes Yinchuan City as the research object and selects the period from 7:00 to 9:00 in the morning as the peak - hour period. By applying the ridge regression model, it analyzes various...

This article focuses on the optimal investment strategy and optimal delayed retirement time for DC pension. In the early stage of the research, a stochastic differential equation with free termination time was constructed to characterize the asset accumulation process under unknown retirement time. On...

The inter-provincial market is an important component of the national unified electricity market. How to better leverage the resource optimization and allocation role of the inter-provincial market, and promote the connection between inter-provincial and provincial markets, is the key issue in building...

To explore the influence of family background on national identity and entrepreneurial intentions among youth in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) and to uncover the underlying mechanisms, this study employed a random questionnaire survey targeting young people aged 18–35 in the GBA....

This study selected 1,109 middle school students as experimental subjects and conducted a survey using MHT (Mental Health Test), which includes eight psychological dimensions and one validity dimension, with a total of 100 items. The “Doctor Review Grade” from clinical diagnoses was used as the “gold...

This paper applies VAR model to analyze the interest rate pattern in China. Interest rate is the price of funds and a key variable in resource allocation. Reasonable price signals guide the intertemporal allocation of funds, which in turn affects the resource allocation of the real economy. China is...

Recent studies increasingly examine exploitative leadership—a detrimental leadership style—owing to its adverse impact on employee job satisfaction. Drawing upon self-determination theory, this study examines the mechanisms linking exploitative leadership to diminished job satisfaction. We analyzed 314...

This review focuses on optimal subsampling methods tailored for linear regression, logistic regression, softmax regression, and generalized linear models. We discuss the principles behind these methods, emphasizing their effectiveness and efficiency. The review also points out the consistency and asymptotic...

China is currently establishing and refining its electricity market system, primarily centered on medium-long term markets and spot markets. However, due to the complex coupling of various market factors, traditional mathematical models struggle to accurately describe, predict, and analyze the bidding...

In large cohort studies where measuring specific covariates is costly or complex, the case-cohort design is often used as a cost-effective sampling method. However, standard case-cohort analyses can be biased, mainly when covariate interference exists. To mitigate this bias, we propose an inverse probability...

Real estate sales contracts contain crucial information for property transactions, but manual data extraction can be time-consuming and error-prone. This paper explores the application of large language models, specifically transformer-based architectures, for automated information extraction from real...

As global attention to sustainable development grows, promoting new energy vehicles has become a key policy goal worldwide. This paper examines two factors influencing consumers’ purchase intention: government subsidies and perceived driving range. Subsidies represent external policy incentives, while...

Traditional bank credit assessment methods rely on limited feature variables and static rules, which affects the accuracy and stability of credit assessment. To this end, this paper uses big data technology, combined with decision tree models and Hadoop HDFS storage and computing architecture to optimize...

As electric vehicles become more widespread, vehicle-to-grid (V2G) is an innovative model for electric vehicles and power grids to work together. Through technologies such as bidirectional charging and discharging, V2G provides new ways to help power systems with peak load management, renewable energy...

In this paper, we use the existing pima indians diabetes database to estimate the population prevalence of patients with diabetes by using the confidence interval estimators, which the result is 31.52% to 38.27%. At the same time, we use multivariable linear regression statistical analysis to find out...

Survival analysis plays a pivotal role in the insurance sector, particularly for modeling time-to-event data such as policy lapses or withdrawals, which directly influence actuarial pricing, reserve estimation, and risk management. Traditional methods like the Cox Proportional Hazards model are limited...

The commercialization of controlled nuclear fusion is accelerating. Large, complex, high-precision international fusion projects challenge contractors’ risk management. This study focuses on their bidding quotation risks, builds a “workload-price” risk conduction framework, and identifies 3 core risks...

Financial crises, such as the recent 2020 COVID-19 shock or the 2008 Global Financial Crisis, revealed that market risk models cannot fully capture tail risks in stressed environments. In this paper, we fill this hiatus to by combining risk estimation and forward-looking allocation choices in a new framework...

To address the issues of limited dimensionality in implicit feedback data and dynamic changes in user interests in predicting e-commerce user purchase behavior in the digital economy era, this study is based on the Retailrocket dataset, retaining 6,610 valid samples after preprocessing. By setting long...

With the vigorous development of the digital economy, traditional credit evaluation methods can hardly meet the complex credit risk identification needs of digital economic enterprises. Machine learning, with its comprehensive data processing capabilities, offers new solutions. This research constructs...

This study focuses on Northeast China and utilizes field-measured estimated yield data along with L2A-level surface reflectance data from the European Space Agency’s Sentinel-2 Multi-Spectral Instrument (MSI), combined with environmental factors, to predict corn yields using machine learning algorithms....

This study investigates regional heterogeneity in consumer loan term preferences, capital demand intensity, and sales strategies utilizing credit transaction data from April to August 2020 across three major Chinese regions: East China, South China, and Northwest China. Our analysis reveals distinct...

This paper aims to construct a systematic framework for energy economics discipline development within power grid enterprises. By integrating PEST macro-environmental analysis with SWOT internal capability assessment models, it explores a “three-dimensional synergy” development pathway for disciplines...

In the context of increasingly prominent environmental issues and growing attention to climate risks, enterprises are placing greater emphasis on addressing climate-related challenges. As an important financing instrument, green bonds play a significant role in supporting corporate sustainable development....

This paper discusses a maximum approximate likelihood estimation approach for the proportional odds model with interval-censored failure time data, which commonly occurs in many fields such as medical follow-up studies. We develop a robust estimation framework under the proportional odds model, which...

Under the backdrop of the Belt and Road Initiative, financial regulatory cooperation among countries along the Belt and Road faces numerous challenges and opportunities. This paper first analyzes the current status of financial regulation in countries along the Belt and Road, and explores existing cooperation...

This paper examines the conceptual distinctions between fraud and market manipulation under securities law, focusing on their legal definitions, regulatory implications, and enforcement practices. While both involve deceptive practices, fraud generally revolves around misleading or false information,...

This study investigates impulsive buying behavior in the context of live streaming commerce for paid knowledge products, a domain traditionally associated with high-involvement and rational decision-making. We examine how competitive arousal and consumer impulsivity influence impulsive buying intention,...

Promoting high-quality economic development ( Hqed ) is a current research hotspot in the field of economic development. Based on panel data from 30 Chinese provinces spanning 2005–2023, this paper constructs evaluation indicator systems for technological innovation ( ...

In the digital economy context, traditional resource allocation methods struggle with massive data and complex decisions. This paper constructs a multi-level optimization framework integrating CNN, LSTM, and deep reinforcement learning for intelligent resource allocation. Based on Google Cluster Trace...

This study constructs a comprehensive evaluation index to assess the high-quality development index (HQDI) of the digital economy in 251 Chinese prefecture-level cities, using the coefficient variation–entropy weighting method and an improved coupling coordination model. Results show that from 2011 to...

Giant sports events have long faced endogeneity challenges, as host cities often pursue infrastructure upgrades and policy reforms independent of the events themselves, making it difficult to isolate their true economic effects. This study presents new evidence of the impact of Giant sports events on...

Against the backdrop of evolving intergenerational consumer demands, time-honored enterprises, as custodians of national commercial culture and traditional craftsmanship, face the pivotal challenge of intergenerational adaptation. This study adopts a mixed-methods single-case analysis, focusing on Kweichow...

Guided by the sustainable development goals, China’s installed capacity of renewable energy continues to rise, and the comprehensive participation of renewable energy units in electricity market transactions has become an inevitable trend. However, to ensure the revenue of renewable energy units, the...

The abstract should summarize the contents of the paper in short terms, i.e. 150–250 words. Reducing social logistics costs is a key pathway to driving high-quality economic development. This study employs Bayesian networks to probabilistically infer industry development states under different economic...

Traditional power financial informatization systems face critical challenges: centralized architectures cause data silos and delayed settlements, while vulnerabilities like data tampering and unauthorized access threaten financial security. Blockchain technology, with its decentralization, immutability,...

This paper uses the yields of 16 listed commercial banks from December 2009 to December 2017 as sample data. The GARCH model and the quantile regression method are used to measure the risk level VaR of each bank, and further use the quantile condition to calculate the impact of the risk spill level of...

This study investigates the spatial distribution of medical resources in the Wuhan Metropolitan Area by applying Spatial Data Mining and Analysis methods. We employed Kernel Density Estimation to visualize distribution patterns and combined the Nearest Neighbor Index with spatial autocorrelation to quantify...