This thesis explores advanced Bayesian statistical methods for extracting key information for cosmological model selection, parameter inference and forecasting from astrophysical observations. Bayesian model selection provides a measure of how good models in a set are relative to each other - but what if the best model is missing and not included in the set? Bayesian Doubt is an approach which addresses this problem and seeks to deliver an absolute rather than a relative measure of how good a model is. Supernovae type Ia were the first astrophysical observations to indicate the late time acceleration of the Universe - this work presents a detailed Bayesian Hierarchical Model to infer the cosmological parameters (in particular dark energy) from observations of these supernovae type Ia.
In this easy-to-use guide, Marisa Moore, R.D., offers a flexible approach—backed by the latest nutritional science—to a more plant-forward diet that can improve your health. With step-by-step tips to transform your plate, she offers 75 delicious recipes to help you reach your wellness goals. According to the latest scientific research, eating with a plant slant and focusing on whole foods—vegetables, fruits, whole grains, legumes, and nuts—is key to a longer, healthier life. In fact, new studies show that a plant-forward diet can increase your longevity by up to eight years. Still, flipping the make-up of your plate and reversing years of eating habits can be tricky. But not anymore! Nutritionist and food blogger Marisa Moore's The Plant Love Kitchen helps you easily integrate a plant-forward diet into your life. In this approachable guide, Moore breaks down the benefits of a flexitarian diet for your health, disease prevention, and overall well-being, based on the latest research. Then, she reveals a transition plan to make the plant-forward approach a long-lasting lifestyle, including tips and tricks for a prepared kitchen and pantry. This isn't a one-size-fits all approach, but an adaptable method that will leave you feeling younger, stronger, mentally fit, and healthy. Once you've got the kitchen prepared, take on 75 delicious recipes for breakfast, lunch, dinner, and everything in between, including: Fully Loaded Breakfast Cookies Make-Ahead Spinach Breakfast Wraps One-Skillet Spinach and Mushroom Lasagna Coconut Chickpea Stew Roasted Shrimp Pineapple and Pepper Tacos Maple-Miso Glazed Sweet Potatoes Mango Sorbet Cocoa Almond Truffles And more!Practical, relatable, and enlightening, this book is the ultimate resource for remaking your diet and extending your life by years.
This thesis explores advanced Bayesian statistical methods for extracting key information for cosmological model selection, parameter inference and forecasting from astrophysical observations. Bayesian model selection provides a measure of how good models in a set are relative to each other - but what if the best model is missing and not included in the set? Bayesian Doubt is an approach which addresses this problem and seeks to deliver an absolute rather than a relative measure of how good a model is. Supernovae type Ia were the first astrophysical observations to indicate the late time acceleration of the Universe - this work presents a detailed Bayesian Hierarchical Model to infer the cosmological parameters (in particular dark energy) from observations of these supernovae type Ia.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.