JMDS

Thumbnail overlapping jurisdictions

Fiscal Games in Overlapping Jurisdictions

Jay Hyoung-Keun Kwon*
* Swiss Institute of Artificial Intelligence, Chaltenbodenstrasse 26, 8834 Schindellegi, Schwyz, Switzerland
This paper examines how the dynamics of capital tax competition change with the introduction of overlapping jurisdiction with taxing authority in a standard tax competition model. Specifically, we develop a game-theoretic model involving two primary economies with asymmetry in per capita capital …

Sleep Tracking

Sleep State Detection Method by Data-generated likelihood

Yeonsook Kwak*
* Swiss Institute of Artificial Intelligence, Chaltenbodenstrasse 26, 8834 Schindellegi, Schwyz, Switzerland
Sleep research using accelerometers from wearable devices is less precise than existing polysomnography. By contrast, An ever-increasing number of studies use accelerometer data that offers continuous, longitudinal, and noninvasive measurements. In this paper, we discuss a generalized approach for detecting sleep states that …

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How is Korea’s Blood Supply Maintained? – Effects of the COVID-19 Pandemic, Blood Shortage Periods, and Promotions on Blood Supply Dynamics

Donggyu Kim*
* Swiss Institute of Artificial Intelligence, Chaltenbodenstrasse 26, 8834 Schindellegi, Schwyz, Switzerland
This study quantitatively assesses the effects of the COVID-19 pandemic, blood shortage periods, and promotional activities on blood supply and usage in Korea. Multiple linear regression analysis was conducted using daily blood supply, usage, and stock data from 2018 to 2023, incorporating various …

Raised Building Frame

Price Premium Discovery In Real Estate Auction Market: Decomposition Of The Korea Auction Sale Rate

Bohyun Yoo*
* Swiss Institute of Artificial Intelligence, Chaltenbodenstrasse 26, 8834 Schindellegi, Schwyz, Switzerland
This study discovers and analyzes price premium (discount/surcharge) factors in the real estate auction market. Unlike existing bottom-up studies based on individual auction cases, a top-down time-series analysis is conducted, assuming that the price premium factor varies over time. To overcome limitations such …

GIAI network

Interpretable Topic Analysis

Mincheol Kim*
* Swiss Institute of Artificial Intelligence, Chaltenbodenstrasse 26, 8834 Schindellegi, Schwyz, Switzerland
User-generated data, often characterized by its brevity, informality, and noise, poses a significant challenge for conventional natural language processing techniques, including topic modeling. User-generated data encompasses informal chat conversations, Twitter posts laden with abbreviations and hashtags, and an excessive use of profanity and …

Black Metal Current Posts

Modeling Joint Distribution Of Monthly Energy Uses In Individual Urban Buildings For A Year

Jeonghun Song a, Hoyong Choi b,*
a Swiss Institute of Artificial Intelligence, Chaltenbodenstrasse 26, 8834 Schindellegi, Schwyz, Switzerland
b Graduate School of Innovation and Technology Management, College of Business, Korea Advanced Institute of Science and Technology, Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
* Corresponding author, E-mail: [email protected]
Monthly energy use in individual buildings is informative data on seasonal …

AI Graph GIAI 01

Is Bubble in Auction Market Really Bubble? Bubble Index in Real Estate Auction Market

Hyeyoung Park*
* Swiss Institute of Artificial Intelligence, Chaltenbodenstrasse 26, 8834 Schindellegi, Schwyz, Switzerland
In this study, we address the phenomenon of financial bubbles, where asset or commodity prices deviate significantly from their intrinsic value or market consensus. Typically, bubbles go unnoticed until they burst, causing abrupt price declines. Given the global interconnectedness of markets, such bubbles …

Gray and Black Laptop Computer

Modeling Digital Advertising Data with Measurement Error: Poisson Time Series and Poisson Kalman Filter Approach

Jeongwoo Park*
* Swiss Institute of Artificial Intelligence, Chaltenbodenstrasse 26, 8834 Schindellegi, Schwyz, Switzerland
This study examines the impact of measurement error, an inherent problem in digital advertising data, on predictive modeling. To do this, we simulated measurement error in digital advertising data and applied a GLM(Generalized Linear Model) based and an Kalman Filter based moodel, both …