Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Biochemistry (1)
- Bioengineering (1)
- Bone failure (1)
- Coomassie Brilliant Blue Dye (1)
- Crowdsourcing (1)
-
- Deep learning (1)
- Deforestation (1)
- Ecological Responsibility (1)
- Flat bone (1)
- Forensics (1)
- Fractography (1)
- Fracture origin (1)
- GARCH (1)
- Indonesia (1)
- Intraspecific aggression (1)
- Invasive species (1)
- LSTM (1)
- Methodology (1)
- Palm Oil (1)
- Procambarus clarkii (1)
- Risk management (1)
- Statistics (1)
- Stereoscopic microscopy (1)
- Stress states (1)
- Sustainability (1)
- Time series analysis (1)
- Trabecular layer (1)
- Transformer (1)
- Volatility forecasting (1)
- File Type
Articles 1 - 5 of 5
Full-Text Articles in Social and Behavioral Sciences
Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha
Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha
Seaver College Research And Scholarly Achievement Symposium
Volatility forecasting in the financial market plays a pivotal role across a spectrum of disciplines, such as risk management, option pricing, and market making. However, volatility forecasting is challenging because volatility can only be estimated, and different factors influence volatility, ranging from macroeconomic indicators to investor sentiments. While recent works suggest advances in machine learning and artificial intelligence for volatility forecasting, a comprehensive benchmark of current statistical and learning-based methods for such purposes is lacking. Thus, this paper aims to provide a comprehensive survey of the historical evolution of volatility forecasting with a comparative benchmark of key landmark models. We …
Coomassie Brilliant Blue Dye As A Method For Analyzing Fracture Markings In Bone, Abigail Hoffmeister, David Harutunyan, Matthew Aizawa, Everett Baker, Brandon Mendoza, Chase Freeman, Siran Iskanian
Coomassie Brilliant Blue Dye As A Method For Analyzing Fracture Markings In Bone, Abigail Hoffmeister, David Harutunyan, Matthew Aizawa, Everett Baker, Brandon Mendoza, Chase Freeman, Siran Iskanian
Seaver College Research And Scholarly Achievement Symposium
Coomassie Brilliant Blue Dye is a dye commonly used to stain proteins. Because of its ability to adhere to proteins, this research has focused on perfecting a method of dyeing a fractured flat bone in order to most accurately observe and analyze fracture markings within the trabecular layer. Stereoscopic microscopy was the chosen technique of analysis for this research because of its proven effectiveness in glass and ceramic fractography to observe varying depths. In order to most effectively apply stereoscopic microscopy to this research, the following variables were manipulated to maximize color contrast in the trabecular layer in order to …
Effect Of Locality Recognition On Aggressive Behavior In The Red Swamp Crayfish, Procambarus Clarkii, Brett K. Muramoto, Tyler Farley
Effect Of Locality Recognition On Aggressive Behavior In The Red Swamp Crayfish, Procambarus Clarkii, Brett K. Muramoto, Tyler Farley
Seaver College Research And Scholarly Achievement Symposium
Climate change affects habitat globally, facilitating the expansion and rapid proliferation of invasive species which damage the newly invaded ecosystem. Intraspecific aggression among an invasive species is an important focus in ecological studies because it can contribute to their overall success as invaders. The crayfish species, Procambarus clarkii, inhabits freshwater streams in the Santa Monica Mountains (Los Angeles, CA) as an aggressive invasive predator. These invasive crayfish are well known for their highly aggressive interactions with conspecifics. It has been shown that body size, temperature, sex, and level of hunger influence their levels of aggression. However, there is a …
The Giving Trees: The (Un)Sustainability Of Palm Oil In Indonesia, Amber Rosche
The Giving Trees: The (Un)Sustainability Of Palm Oil In Indonesia, Amber Rosche
Seaver College Research And Scholarly Achievement Symposium
Palm oil is the main source of cooking oil for much of Africa, Asia and Brazil. Due to the increasingly high demand for palm oil, countries such as Indonesia and Malaysia have cleared millions of acres of tropical rainforests to create space for oil palm plantations. This deforestation has led to extreme environmental and social concerns such as the burning of peatlands, the endangerment of a number of species, including the Sumatran Tiger, rhinos and orangutans, and the displacement of native populations. Indonesia is the world’s largest consumer and producer of palm oil, producing almost half of the world’s supply …
The Reliability Of Crowdsourcing: Latent Trait Modeling With Mechanical Turk, Matt Baucum, Steven Rouse Dr., Cindy Miller-Perrin, Elizabeth Mancuso Dr.
The Reliability Of Crowdsourcing: Latent Trait Modeling With Mechanical Turk, Matt Baucum, Steven Rouse Dr., Cindy Miller-Perrin, Elizabeth Mancuso Dr.
Seaver College Research And Scholarly Achievement Symposium
Mechanical Turk, an online crowdsourcing platform, has recently received increased attention in the social sciences as studies continue to suggest its viability as a source for reliable experimental data. Given the ease with which large samples can be quickly and inexpensively gathered, it is worth examining whether Mechanical Turk can provide accurate experimental data for methodologies requiring such large samples. One such methodology is Item Response Theory, a psychometric paradigm that defines test items by a mathematical relationship between a respondent’s ability and the probability of item endorsement. To test whether Mechanical Turk can serve as a reliable source of …