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The maximum posterior estimation is an estimation of points that are difficult to observe based on empirical data. Similar to the maximum likelihood estimation, but the maximum difference is the same. The Maximum Posterior Estimation incorporates the Prior Distribution of the expected estimator. Therefore, the maximum posterior estimation can be seen as the normalized maximum likelihood estimation. First, let's review the maximum likelihood estimation in the previous article. Assume that x is an

After reading it, I feel very touched .. There is a brother who lives on the 80 th floor. One day they went home on a trip and found the building had a power outage! Although they carry large bags of luggage, there seems to be no other choice, so my brother said to his brother, we will climb the stairs! As a result, they carry two bags of luggage and began to climb the stairs. When they climbed to the 20th

client: PackageCom. diermeng. designpattern. Composite. client; ImportJava. util. List; ImportCom. diermeng. designpattern. Composite. gift; ImportCom. diermeng. designpattern. Composite. impl. giftcomposite; ImportCom. diermeng. designpattern. Composite. impl. giftleaf; Public ClassCompositetest { Public Static VoidMain (string [] ARGs ){ // Tree branch component Node Gift =NewGiftcomposite ("big gift "); // Leaf component Node Gift shirt =NewGiftleaf ("T-shirt "); G

Delete this key (optional *):Hkcu \ Software \ Classes \ Local Settings \ Software \ Microsoft \ Windows \ shell \ bags Import this key:Windows Registry Editor Version 5.00[HKEY_CURRENT_USER \ Software \ Classes \ Local Settings \ Software \ Microsoft \ Windows \ shell \ bags \ allfolders \ shell]"Foldertype" = "notspecified" * The first step is not required. It is mainly used to delete different folde

encountered such problems, some of which ignore you, and some of which are rejected !! Very perfunctory answer. Therefore, after-sales service requires patience and good professional quality to help users solve these problems. Tealai mall is a comprehensive network mall that combines hundreds of thousands of products, including clothing, shoes, bags, digital, Maternal and Child, make-up, and daily necessities. There are a wide variety of products, so

nourishing bowel. Eliminate eye bags and stick potato chips to your eyes to relieve eye bags. Anti-aging food 24: mushrooms Recommended reasons: rich nutrition, immunity enhancement, weight loss, mushrooms have a lot of inorganic, vitamins, protein and other rich nutrients, but the heat is very low, often eat will not gain weight. Mushrooms contain high plant cellulose, which can prevent constipation and r

Document directory Introduction Lai Yi Ling Series Zhou yinhui Series Bags Colin Han Series Two alternative articles Zhang Yi Series Xuning Series Jillzhang Series Artech Series Fox23 Series Wxwinter (Winter) Series Li xuebin Series The screening results of the third round of "blog garden essence set-net3.x sub-book" were published. The results have been reposted, excluded, and reclassified. A total of 103 articles have been selected.

what to do. Rammon came to the front of the team, put a hand on the woman's shoulder, and whispered something to her in Spanish. The woman quickly stopped crying. Then the baby will not cry. The cashier smiled and hoped the deadlock had been broken. Lammon explained to the people in the queue that the woman only paid $20, but $35. How does she know the price of a big box store is doubled? When the cashier suggested that she buy less goods, the woman got angry. How can she not buy food or diaper

jumped out, yanked my door open, and tried to pull me out. I moved into a position where I cocould kick him away. there were maid on the street so I started screaming "Help! Help! The taxi driver is ripping me off! Help! "I kept kicking the passenger who was still trying to pull me out of the car. About 10 people gathered as I was screaming for all I was worth. the driver was screaming at the passenger about something. in fact, it was the loudest I had heard him scream the entire time. the pass

all, this is a very good time for you. The so-called overtime is nothing more than waiting for a few more hours in front of the computer. Have you ever had to fight games during college? At that time, no one felt hard. When a startup company works overtime, it's not a flood of animals, so it won't make you feel like a couple of hours of bags? As for your girlfriend, you should tell her clearly that in order for your future life to pass, your current

(HttpContext context){Context. Response. Clear ();String value = GetResult ();Context. Response. Write (value );Context. Response. End ();}Private string GetResult (){String result = string. Empty;Result = @"[{"" Id "": "" 1 "", "" Name ":" "Green Tea" "," "Code": "1371 "", "" Units "": "" Jin "", "" Price "": "200 ""},{"" Id "": "2" "," "Name": "" Black Tea "", "" Code ":" 1372 "", "" Units "": "" Jin "", "" Price "": "300 ""},{"" Id "": "3" "," "Name": "" tea set "", "" Code ":" 1373 "", "" U

The provincial team members (most) did not come ... Like my satay every day to write and write the metaphysical algorithm can be ranked on the top of the list ... It is true that the person who is writing the hang is far less than the person who is violent pat ... The continuation of the land will supplement some of the problems. (But some of them are too divine to be able to fill the puzzle.) There are n items, two bags A and b. If the item I and j i

instanceStream stream = Response. GetResponseStream ();//GetResponseStream: Get the reply streamStreamReader sr =NewStreamReader (stream);//reading characters from the byte stream//reads from the current position of the stream to the end and appears in the Webbrower control stringContent =Sr. ReadToEnd (); Webbrowser1.documenttext=content; HtmlElement User= webbrowser1.document.all["username"]; HtmlElement Pass= webbrowser1.document.all["Password"]; HtmlElement but= webbro

sample of the same distribution, θ is the model parameter, and F is the model we are using. Then the maximum likelihood estimate can be expressed as:Now, suppose that the prior distribution of θ is g. With Bayesian theory, the posterior distribution of θ is shown in the following formula:The goal of the final distribution is:Note: The maximum posteriori estimate can be considered as a specific form of Bayesian estimation.For example:Suppose there are five b