From 63d0a57c0679ece01fe520676d9f26387b322b85 Mon Sep 17 00:00:00 2001 From: keywoongbae Date: Sun, 14 Apr 2024 15:23:31 +0900 Subject: [PATCH] Updated --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 21c6a77..26fd924 100644 --- a/README.md +++ b/README.md @@ -12,15 +12,15 @@ - **A Neural Network Extension of the Lee-Carter Model to Multiple Populations (*AAS 2021*)** - - [Richman, R. (2021).](./Paper/Richman_AAS_2021.pdf) [Paper Review](./Review/Richman_AAS_2021.md) + - [Richman, R. (2021).](./Paper/Richman_AAS_2021.pdf) [Paper Review](./Review/Richman_AAS_2021.md) - > *This paper **predicted the morality rates of HMD dataset using Lee-carter model**, Augmented Common Factor (ACF), Common Age Effect (CAE), and **Deep Neural Network** (fully-connected).* - **The Drivers of Cyber risk (*JFS 2022*)** - - [Aldasoro, I. (2022).](./Paper/Aldasoro_JFS_2022.pdf) [Paper Review](./Review/Aldasoro_et_al_JRS_2022.md) + - [Aldasoro, I. (2022).](./Paper/Aldasoro_JFS_2022.pdf) [Paper Review](./Review/Aldasoro_et_al_JRS_2022.md) - > *This paper explained the relationship between cyber risk loss and independent variables such as sector, risk type, company size, and maliciousness based on **Advisen dataset.*** - **The Economic Impact of Extreme Cyber Risk Scenarios (*NAAJ 2022*)** - - [Eling, M. (2023).](./Paper/Eling_NAAJ_2022.pdf) [Paper Review](./Review/Eling_NAAJ_2022.md) + - [Eling, M. (2023).](./Paper/Eling_NAAJ_2022.pdf) [Paper Review](./Review/Eling_NAAJ_2022.md) - > *This paper designed the **6 scenarios based on the most significant cyberattacks threats** (Supervisory control, Cloud service failure, Health sector and hospitals, Municipal services, Telecommunication, Cross-sector attack) and estimated the economic affects using **Inoperability Input-Output Model**.* - **Cyber Risk Scenarios, the Financial System, and Systemic Risk Assessment (*CEIP 2019*)**