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Bayes’ theorem
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Bài giảng "Các phương pháp định lượng 1 (Học phần: Xác xuất thống kê) - Thống kê suy luận" trình bày các nội dung chính sau đây: mô hình thống kê (statistical model); ước lượng điểm (point estimation) và phân phối mẫu (sampling distribution); tính chất cần thiết của ước lượng điểm; định lý giới hạn trung tâm (the central limit theorem);... Mời các bạn cùng tham khảo nội dung chi tiết!
27p
kimphuong1144
04-12-2023
5
3
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Ebook Statistics: Part 1 presents the following content: Sample Space of A Random Experiment; Methods of Enumeration of Probability; Conditional Probability and Independence Baye’s Theorem; Functions of Random Variables; Modern Approach to Probability;...Please refer to the documentation for more details.
207p
chankora
16-06-2023
1
1
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Lecture Data mining: Lesson 9. The main topics covered in this chapter include: classification and regression; classification by decision tree induction; bayesian classification; other classification methods; regression;... Please refer to the content of document.
25p
tieuvulinhhoa
22-09-2022
8
3
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Despite increased investment in pharmaceutical research and development, fewer and fewer new drugs are entering the marketplace. This has prompted studies in repurposing existing drugs for use against diseases with unmet medical needs
16p
vikentucky2711
26-11-2020
6
0
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Since the recombinant protein was discovered, it has become more popular in many aspects of life science. The value of global pharmaceutical market was $87 billion in 2008 and the sales for industrial enzyme exceeded $4 billion in 2012. This is strong evidence showing the great potential of recombinant protein.
10p
vioklahoma2711
19-11-2020
13
2
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Cancer is a serious health issue in China, but accurate national counts for cancer incidence are not currently available. Knowledge of the cancer burden is necessary for national cancer control planning. In this study, national death survey data and cancer registration data were used to calculate the cancer burden in China using a Bayesian approach.
10p
vijennie2711
29-09-2020
10
0
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In this lesson you will learn about discrete Probability. Then you will learn: Introduction to discrete probability, probability theory, Bayes’ theorem, expected value and variance。
74p
koxih_kothogmih6
22-09-2020
32
1
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This study included a network meta-analysis of evidence from randomized controlled trials (RCTs) to assess the therapeutic outcome of transurethral resection (TUR) in patients with non-muscle-invasive bladder cancer assisted by photodynamic diagnosis (PDD) employing 5-aminolaevulinic acid (5-ALA) or hexylaminolevulinate (HAL) or by narrow band imaging (NBI).
10p
viamsterdam
18-09-2020
8
0
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Adenocarcinoma (ADC) and squamous cell carcinoma (SCC) are the most prevalent histological types among lung cancers. Distinguishing between these subtypes is critically important because they have different implications for prognosis and treatment.
11p
vinaypyidaw2711
26-08-2020
9
1
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Lecture "Probability & statistics - Chapter 4: Basic probability" has contents: Probability, outcome – event complement event, intersection event, union event mutually exclusive, independent, collectively exhausive, partitions bernoulli formula total probability, bayes’ theorem.
40p
abcxyz123_07
19-03-2020
41
1
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Hypertension is a severe threat to human being’s health due to its association with many comorbidities. Many research works have explored hypertension’s prevalence and treatment. However, few considered impact of patient’s socioeconomic status and geographical disparities.
12p
vilusaka2711
19-11-2019
12
1
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Bài viết trình bày một phương pháp hiệu quả nhân nhanh các đa thức và chuỗi lũy thừa có các hệ số nguyên ứng dụng trong việc tạo các tham số cho các hệ thống mật mã khóa công khai, mà hiệu quả của chúng làm tăng tốc độ thực hiện các thuật toán trong các ứng dụng thực tế.
9p
vicolor2711
17-07-2019
65
2
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Lecture “Natural language processing - Chapter 2: Fundamental algorithms and mathematical models” has contents: Probability theory and Bayes theorems (Concepts in probability, Bayes theorems, application of the probability theory in NLP).
14p
dien_vi01
21-11-2018
28
0
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part 1 book “probability and mathematical statistics” has contents: probability of events, conditional probability and bayes’ theorem, random variables and distribution functions, moments of random variables and chebychev inequality, some special discrete distributions, some special continuous distributions,… and other contents.
303p
tieu_vu13
06-08-2018
30
2
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Đề tài không đi sâu vào nghiên cứu ứng dụng của các định lý điểm bất động mà chỉ trình bày khái niệm nón, một số tính chất cơ bản của nón trong không gian Banach, khái niệm không gian metric nón, cuối cùng là trình bày và chứng minh lại các định lý điểm bất động đã có trong bài báo: “Cone metric spaces and fixed point theorems of contractive mappings” của L.-G. Huang và X. Zhang một cách chi tiết và có hệ thống.
26p
bautroibinhyen24
20-04-2017
60
3
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Chapter 5 - A survey of probability concepts. After studying this chapter you will be able to: Explain the terms experiment, event, and outcome; identify and apply the appropriate approach to assigning probabilities; calculate probabilities using the rules of addition; define the term joint probability; calculate probabilities using the rules of multiplication;...
15p
whocare_e
04-10-2016
38
1
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Mời các bạn cùng tìm hiểu unbiased; linearity; efficiency; gauss - markov theorem;... được trình bày cụ thể trong "Bài giảng Chapter 2: Finite sample properties of the ols estimator". Hy vọng tài liệu là nguồn thông tin hữu ích cho quá trình học tập và nghiên cứu của các bạn.
0p
codon_09
01-04-2016
37
2
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Lecture Quantiative methods for bussiness - Chapter 2 introduction to probability. This chapter presents the following content: Experiments and the sample space; assigning probabilities to experimental outcomes; events and their probabilities; some basic relationships of probability; Bayes’ theorem.
58p
allbymyself_06
27-01-2016
58
3
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Lectures "Applied statistics for business - Chapter 4: Introduction to probability" provides students with the knowledge: Experiments, counting rules and assigning probabilities, events and their probabilities, some basic relationships of probability, conditional probability, bayes’ theorem. Invite you to refer to the disclosures.
34p
doinhugiobay_13
26-01-2016
66
2
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Chương 5 của bài giảng Lý thuyết tính toán giới thiệu về hàm đệ quy. Chương này trình bày một số nội dung cơ bản như sau: Gödel's incompleteness theorem; zero, successor, projector functions; functional composition; primitive recursion; proving functions are primitive recursive, Ackermann's function. Mời các bạn cùng tham khảo.
6p
namthangtinhlang_04
15-11-2015
68
7
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